1,848 Python Jobs in Bangalore (Bengaluru) | Python Job openings in Bangalore (Bengaluru)

Job Description:

We are looking for a skilled .NET + Python Developer with hands-on experience in developing, maintaining, and enhancing applications using .NET technologies and Python. The candidate should have good programming, debugging, and problem-solving skills.

Key Responsibilities:

• Develop and maintain applications using .NET technologies and Python.
• Design, develop, and integrate REST APIs.
• Work on backend development and application enhancements.
• Write clean, reusable, and optimized code.
• Identify and resolve application issues.
• Collaborate with cross-functional teams.
• Participate in code reviews, testing, and deployment activities.

Required Skills:

• Strong experience in .NET development.
• Hands-on experience with Python.
• Knowledge of REST APIs and Microservices.
• Experience with database integration and SQL.
• Good debugging and problem-solving skills.
• Immediate joiners only.

Role: Lead Engineer

Experience: 8+ Years (with strong AI/GenAI expertise)

About the Role

As a Senior / Lead AI Engineer, you will be responsible for architecting, developing, and deploying enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Agentic AI frameworks. You will work closely with cross-functional teams to deliver innovative AI products while driving best practices in AI engineering, governance, and operational excellence.

Key Responsibilities

• Design, build, and deploy enterprise-grade LLM, Generative AI, and Agentic AI solutions.
• Lead the architecture and implementation of multi-agent systems and complex AI workflows.
• Build and optimize RAG (Retrieval Augmented Generation) architectures for enterprise use cases.
• Fine-tune, optimize, evaluate, and improve AI/GenAI models for performance, accuracy, scalability, and cost efficiency.
• Integrate AI solutions with cloud platforms, APIs, enterprise applications, and backend systems.
• Establish and maintain AI engineering best practices including AgentOps, governance, observability, security, and responsible AI principles.
• Implement automated deployment strategies using modern CI/CD pipelines.
• Collaborate with business stakeholders, architects, product teams, and engineering teams to ensure successful project delivery.
• Mentor and guide engineering teams on AI solution architecture and implementation.

Required Experience

• 2+ years of hands-on experience building and deploying LLM, GenAI, or Agentic AI solutions in production environments.
• Strong experience designing and implementing multi-agent frameworks and orchestration systems.
• Experience with AI-assisted software development tools such as:
• GitHub Copilot
• Claude Code
• Codex
• Similar AI SDLC tools
• Strong expertise in RAG architecture design and implementation.
• Experience optimizing AI models, prompts, workflows, and inference pipelines.
• Hands-on experience integrating AI applications with enterprise ecosystems and cloud services.

Technical Skills

Programming & Frameworks

• Python
• LangChain
• LangGraph

Enterprise AI Platforms & Frameworks

• AgentBricks
• AgentCore (AWS)
• Microsoft Foundry
• Gemini Agent Studio
• Snowflake Cortex Agents

Cloud & AI Platforms

• AWS Bedrock
• Databricks Mosaic AI
• Microsoft Foundry
• Gemini Enterprise Agent Platform
• Snowflake Cortex

DevOps & Engineering

• Docker
• Kubernetes
• CI/CD Pipelines
• AI Governance
• MLOps / AgentOps best practices

Preferred Qualifications

• Experience in enterprise-scale AI transformation programs.
• Knowledge of Responsible AI, AI governance frameworks, and compliance standards.
• Experience leading technical teams and driving AI solution strategy.
• Exposure to observability, monitoring, evaluation frameworks, and AI platform engineering.

Soft Skills

• Excellent verbal and written communication skills.
• Strong stakeholder management and collaboration abilities.
• Ability to lead cross-functional teams and deliver business outcomes.
• Problem-solving mindset with a focus on innovation and continuous improvement.

Why EPAM?

• Work on cutting-edge AI and GenAI initiatives for global enterprises.
• Collaborate with highly skilled architects, engineers, and AI specialists.
• Exposure to large-scale digital transformation and innovation programs.
• Continuous learning opportunities through EPAM's world-class engineering culture.
• Opportunity to shape the future of enterprise AI solutions.

Immediate Joiner - 15 days Notice period

• Primary Skillsets: Python, Generative AI, Agentic AI, LLM, experience with designing and developing production grade AI solutions, AWS/Azure/GCP, LLMOps, Data Engineering (Databricks/Snowflake), Regulated GenAI, Data and Decisions, and Agentic Systems.

• Preferred: Pharma or life sciences experience, especially in regulated (GxP) environments, experience setting up a team or practice from scratch.

Technical Stack

- PySpark

- Databricks

- Microsoft Azure

- SQL

- Kubernetes

Key Responsibilities & Expectations

- Must be self-driven, proactive, and capable of independently delivering high-quality solutions.

- Demonstrate strong ownership and accountability for assigned tasks and deliverables.

- Ability to work with minimal supervision while consistently meeting project objectives and quality standards.

Company: Wissen Technology

Position: Python AI Engineer

Experience: 4-6 Years

Location: Bengaluru

Employment Type: Full-time

About Wissen Technology

Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.

With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.

At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.

Job Summary

Wissen Technology is hiring a Python AI Engineer for a team building a finance application in global financial services. You will use Python to build LLM-powered applications and AI agents that help finance and operations users find, understand, and act on their data. The ideal candidate should have strong expertise in Core Python, data handling, and AI/LLM engineering and hands-on experience in developing AI-powered applications using Agentic AI frameworks such as LangChain and LangGraph, along with Retrieval-Augmented Generation (RAG).

Job Responsibilities:

• Develop and maintain applications using Core Python.
• Design and develop scalable backend services using FastAPI.
• Build and integrate RESTful APIs for application development.
• Work with NumPy and Pandas for data manipulation and processing.
• Develop AI-powered applications using Generative AI and LLM technologies.
• Implement RAG-based solutions for intelligent document retrieval and information extraction.
• Work with LangChain for LLM orchestration and application development.
• Develop document processing pipelines, including text extraction, parsing, chunking, and data extraction.
• Integrate LLM APIs into existing applications and workflows.
• Optimise application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Required Skills

• Strong programming experience in Core Python.
• Hands-on experience with FastAPI.
• Good knowledge of NumPy and Pandas.
• Experience in REST API development and integration.
• Practical experience with LangChain.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Knowledge of AI, Generative AI, and Large Language Models (LLMs).
• Experience in document processing and data extraction.

Key Skills:

Python & System Design: Strong expertise in Python and system design, with proven experience architecting scalable, production-grade systems.

LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.

Cloud & Data Architecture: Deep understanding of data and cloud architecture across AWS and Azure, including multi-store data design, distributed systems, streaming, security, and cost optimization.

Azure Databricks: Hands-on production experience with Azure Databricks architecture, including Unity Catalog, Delta Lake, cluster policy design, job orchestration, and Terraform provisioning.

Supply Chain & Inventory Management: Strong domain knowledge of supply chain and inventory operations, including demand planning, MRP logic, inventory parameters, and translating business planning decisions into data requirements.

System Architecture & Technical Decision-Making: Ability to make sound architectural decisions based on first principles, evaluate technical trade-offs, and avoid unnecessary complexity and abstraction.

LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.

Technical Leadership: Ability to influence teams without direct authority, establish technical standards, prepare technical specifications and documentation, and mentor team members.

Experience in pharmaceutical or regulated industries is highly valued.

Note: Only Immediate joiners are considered

Key Skills:

• Builds AI-powered business applications end to end, from the Python/FastAPI service layer through to React-based user interfaces, deployed on Databricks
• Designs and builds APIs connecting AI agents, governed data and user-facing workflows, including decision capture, audit logging and file exports for downstream systems
• Codes rule-based decision engines in Python (e.g. allocation or replenishment logic) that work alongside ML models
• Integrates LLM agent runtimes into applications, including tool calls, streamed responses and cited outputs
• Writes performant SQL against governed data and ensures services operate within defined access boundaries
• Builds interactive screens, dashboards and conversational interfaces that let users review and act on AI recommendations
• Works closely with GenAI/ML engineers, data engineers and BA

Primary tech stack:

Python, Fast API, REST API design, SQL, Databricks Apps, Databricks SQL, Unity Catalog, LLM agent integration, React, TypeScript, Git / CI-CD

Secondary tech stack:

Pydantic, Async Python, Pytest, MLflow, Delta Lake, State management, Figma-to-code

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark.
• Work extensively with Databricks and Delta Lake, including Delta tables, MERGE operations, schema evolution, Time Travel, and data optimization.
• Develop, schedule, and monitor Apache Airflow DAGs for workflow orchestration and dependency management.
• Work with Kubernetes for containerized application deployment, orchestration, monitoring, and troubleshooting.
• Develop reusable and optimized Python code following software engineering best practices.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, error handling, logging, and monitoring mechanisms.
• Use Git for version control, branching, pull requests, code reviews, and collaborative development.
• Troubleshoot pipeline failures, investigate data issues, and implement reliable solutions.
• Collaborate with cross-functional teams to understand business requirements and deliver efficient data solutions.

Required Technical Skills

• Python: Strong programming skills, including data manipulation, exception handling, modular programming, and debugging.
• PySpark: Hands-on experience with Spark DataFrames, Spark SQL, joins, transformations, partitioning, and performance tuning.
• Databricks: Strong understanding of Databricks architecture, notebooks, workflows, compute management, and job execution.
• Delta Lake: Experience with Delta tables, ACID transactions, MERGE/UPSERT, schema enforcement, schema evolution, VACUUM, and Time Travel.
• Apache Airflow: Experience developing DAGs, managing task dependencies, configuring retries, scheduling workflows, and troubleshooting failures.
• Kubernetes: Practical knowledge of pods, deployments, services, ConfigMaps, Secrets, resource management, and troubleshooting containerized workloads.
• Git: Proficiency in branching strategies, pull requests, merging, and resolving conflicts.
• SQL: Strong SQL skills, including complex joins, CTEs, window functions, and query optimization.

Good to Have

• Experience with Docker and containerization best practices.
• Experience with Databricks Unity Catalog and data governance.
• Knowledge of CI/CD pipelines and automated deployments.
• Experience deploying and managing Airflow workloads on Kubernetes.
• Familiarity with Kubernetes monitoring, autoscaling, and resource optimization.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of data lakehouse architecture and data modeling.
• Experience with batch and incremental data processing.
• Familiarity with data quality frameworks and automated testing.

Preferred Candidate Profile

• Strong analytical and problem-solving skills.
• Ability to independently design, develop, deploy, and troubleshoot data pipelines.
• Good understanding of distributed data processing and container orchestration.
• Experience working in an Agile development environment.
• Strong communication and collaboration skills.
• 
  

Job Details:

• Role: Python Developer
• Location: Bangalore
• Experience: 7+ Years
• Required Skills:
• Python Development
• MySQL
• REST API Development
• Django Framework
• PySpark

INTERESTED CANDIDATE SEND YOUR RESUME IN MAIL OR WHATSAPP :

Email: revathi.r @vysystems. com

WhatsApp / Call: 6 3 8 5 0 7 6 1 4 2

About the role

We are looking for a technically strong software engineering leader to own software quality, architecture and integrated delivery across our India software organisation. Our robots depend on multiple software disciplines working together reliably. You will help shape technology strategy and organisational direction, and translate that into sound architectural decisions, strong engineering practices and dependable execution. This is a hands-on leadership role combining technical depth, people management and accountability for outcomes.

Location: Bengaluru, Karnataka,  Reports to: Chief Technology Officer · Experience: 10+ years

About Us

We are building robots to maintain, organise and reset common public and commercial spaces — offices, campuses, venues and other high-traffic facilities. We are building a hybrid end-to-end architecture where classical and modern methods work together for maximum reliability and robustness, with R&D in Bengaluru and Wellington, New Zealand.

What you will do

Technology direction and architecture: help shape technology strategy and drive architecture decisions across robot software, cloud services, data processing and model training infrastructure. Own system-level requirements — latency, compute and memory budgets, end-to-end reliability. Establish clear interfaces and component ownership, and resolve technical trade-offs across the stack.

Software quality, security and engineering practices: set and embed standards for code quality, testing, documentation, observability and secure development. Own the software security review and audit process across robot and cloud systems, working with specialists where needed. Build quality into everyday development through effective reviews, automated validation and measurable acceptance criteria.

Integrated software delivery: own delivery across teams, turning product priorities into realistic plans with clear commitments, dependencies and milestones. Resolve execution bottlenecks and hold teams accountable for working software and demonstrated robot behaviour.

Integration, resilience and release readiness: own integration and release readiness across robot software, cloud services, and data and training pipelines, including Kubernetes. Define and validate behaviour during connectivity loss, service degradation and component failures, including safe fallback, recovery and rollback. Establish reproducible builds and simulation, hardware-in-the-loop, on-robot and cloud testing.

Hands-on technical leadership: stay close to implementation through critical design and code work, complex debugging and direct involvement in the most consequential technical problems.

People and team development: lead and develop engineers and technical leads; build capability through hiring, coaching, clear performance expectations and stronger technical ownership.

Cross-team alignment: bring teams together around shared technical decisions and delivery outcomes, including teams outside your reporting line.

Experience

• At least 10 years in robotics or AI, including technical leadership roles
• Strong understanding of autonomy systems such as VLA/VLM models, SLAM, planning, perception and ML-based decision-making
• Python, C++, ROS, and ML stacks such as PyTorch or TensorFlow
• Experience with robotics, embedded systems, autonomous systems or comparable products where software interacts with physical hardware
• Practical experience improving automated testing, continuous integration, release processes and production reliability
• Evidence of delivering programmes spanning multiple teams, including teams outside your reporting line
• Experience architecting and operating cloud platforms, containerised workloads, and large-scale data processing or model training pipelines

What success looks like

• Teams deliver predictably against a shared plan, with clear ownership and fewer late integration surprises
• Architecture supports product goals and makes the software easier to extend, test and maintain
• Releases produce measurable improvements in robot behaviour and reliability
• Recurring failures, escaped defects and avoidable engineering rework decrease
• Engineers and technical leads grow in capability, ownership and execution independence

Job Summary

We are looking for a skilled Python Backend Developer with strong hands-on programming experience and a good understanding of SQL, databases, REST APIs, and backend development. The ideal candidate should have experience developing, maintaining, and optimizing backend applications, along with strong debugging and problem-solving skills.

Key Responsibilities

• Develop, maintain, and enhance backend applications using Python.
• Write, optimize, and manage SQL queries, including joins, subqueries, and complex queries.
• Work with relational databases such as PostgreSQL, MySQL, or SQL Server.
• Develop and integrate RESTful APIs for backend services.
• Perform debugging, troubleshooting, and performance optimization.
• Write unit tests and ensure code quality and application reliability.
• Use Git for version control and collaborative development.
• Collaborate with frontend developers, QA teams, and other stakeholders.
• Support data processing and ETL-related activities.

Required Skills

• Strong hands-on experience in Python programming.
• Good knowledge of SQL, joins, subqueries, and query optimization.
• Experience working with PostgreSQL, MySQL, or SQL Server.
• Knowledge of REST APIs and backend development concepts.
• Understanding of debugging, testing, and troubleshooting.
• Hands-on experience with Git and version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Knowledge of data processing and ETL pipelines.
• Familiarity with cloud platforms such as AWS or Microsoft Azure.
• Understanding of application deployment and backend architecture.

​Kindly fill the Details :-

Data Science Engineer – Python, SQL, Statistics & Machine Learning

Company: Talview

Experience: 3–5 years

Location: Bengaluru, Karnataka

Work Mode: Work from Office, with some flexibility

Work Week: 5 days

About Talview

Talview builds AI-powered hiring and assessment solutions for enterprise organisations. Our products support candidate screening, interview scheduling and online exam proctoring, helping teams improve efficiency and make better-informed decisions.

Role Overview

We are looking for a Data Science Engineer with strong hands-on experience in Python, SQL, statistics and classical machine learning, along with experience working on GenAI and Large Language Models (LLMs).

You will work across data processing, statistical analysis, experimentation, model development, evaluation and production AI/ML workflows. You will collaborate with Engineering and Product teams to translate business problems into measurable data science solutions.

This role requires practical experience in classical ML and statistics, beyond working only with LLM APIs or prompt engineering.

Roles and Responsibilities

• Develop complex SQL queries for data extraction, transformation, analysis and validation.
• Use Python for data processing, exploratory data analysis, automation and reusable experimentation utilities.
• Apply statistical analysis, hypothesis testing and experimental design to evaluate business and product outcomes.
• Develop and evaluate machine learning models using appropriate metrics and clearly defined success criteria.
• Build LLM workflows involving prompting, structured outputs and comparative evaluation of models and configurations.
• Create evaluation datasets, benchmarks, sampling strategies and ground-truth validation approaches.
• Perform error analysis and root-cause analysis to identify model failures, anomalies and performance degradation.
• Analyse production data and troubleshoot data, model and pipeline issues.
• Integrate data from APIs, databases and other structured and unstructured sources.
• Collaborate with Engineering and Product teams on ML pipelines, evaluation frameworks and inference workflows.
• Research and test techniques to improve AI/ML system performance.

Required Skills and Experience

• 3–5 years of relevant experience in Data Science, Machine Learning, AI or a related field.
• Strong hands-on Python programming skills.
• Strong SQL skills for complex querying, data transformation and analysis.
• Solid understanding of statistics, hypothesis testing, experiment design and performance measurement.
• Practical experience developing and evaluating classical machine learning models.
• Experience with LLMs, prompting, structured outputs and evaluation.
• Experience defining evaluation metrics, benchmarks and error-analysis approaches.
• Ability to work with APIs, databases and structured and unstructured datasets.
• Strong analytical and problem-solving skills.
• Ability to explain technical decisions, interpret results and communicate findings to stakeholders.

Preferred Skills

• Experience designing end-to-end ML or LLM workflows.
• Experience with dataset creation, sampling, annotation and ground-truth validation.
• Experience analysing production AI/ML systems and debugging model or pipeline issues.
• Experience building reusable experimentation and evaluation frameworks.

Key Skills

Python, SQL, Data Science, Statistics, Machine Learning, Classical ML, Hypothesis Testing, Experimental Design, Model Evaluation, Exploratory Data Analysis, GenAI, Large Language Models, LLM Evaluation, Error Analysis

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

• Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.
• Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.
• Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.
• Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.
• Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.
• Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.
• Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.
• Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

• 9–12 years of experience in Python development, ETL, data engineering, or data management.
• Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.
• Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.
• Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.
• Strong SQL skills and experience with database integrations and data processing.
• Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.
• Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.
• Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.
• Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

• Experience in insurance rating modernization and integrating predictive models into pricing platforms.
• Exposure to model deployment automation, monitoring, and scalable analytics platforms.
• Experience collaborating with actuarial, data science, and cloud engineering teams.
• A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

• Locations: New Delhi (Gurugram), Bangalore, and Pune.
• Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.

About GeoIQ: 

GeoIQ(a Lenskart subsidiary) is a location intelligence platform that provides comprehensive data and insights to help businesses make informed decisions about their retail operations and expansion. It offers a range of data points, including demographic information, commercial activity, and market performance indicators, to give users a detailed understanding of a specific location or market. 

About the team: 

Our agile team, consisting of 40+ members, is led by a founding team with extensive experience in data analytics, machine learning, and product development. Embrace the opportunity to collaborate with seasoned professionals in a dynamic and innovative work environment. 

Responsibilities: 

• We’re looking for a Backend Engineer who thrives on solving real-world problems and is eager to build scalable, high-performance systems. You should have:
• Keen interest and ability to learn and continuously adapt to the market and technology.
• At least 2–4 years of relevant backend development experience.
• Strong knowledge and experience in Python (Flask) and SQL (we use PostgreSQL and PostGIS).
• Hands-on experience with MongoDB, Airflow and Nginx.
• Practical experience with Cloud Services, including:
• Familiarity with Google Cloud Platform (GCP): Cloud Functions, Cloudbuild, Cloud Storage, Cloud SQL, Cloud Logging, and Cloud Monitoring.
• Familiarity with Kubernetes is a bonus.
• Familiarity with GIS concepts is a plus.
• Strong background in designing and building REST APIs, with the ability to discuss architectural trade-offs and make sound technical decisions.

Why Explore a Career at GeoIQ: 

• Be part of a team that is revolutionizing decision-making for businesses across India.
• Work in a dynamic and innovative environment with ample opportunities for professional growth and learning.
• Contribute to the growth and success of a leading hyperlocal location AI startup in India. 

If you are passionate about creating intuitive and efficient front-end solutions and meet the requirements listed above, we would love to hear from you. Apply now to join our team at GeoIQ!

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

Location: Pune/Bengaluru

As a Software Engineer, you will tackle a highly challenging role within our Cyber Security Engineering integration development team. You will be responsible for the End-to-End (E2E) delivery of projects from gathering customer requirements to deploying high-performance data exchange solutions on-prem or in the cloud. We are looking for a Systems-Level Thinker who can seamlessly transition between building complex integrations and architecting high-throughput, low-latency backends. Because each integration may require a different technical approach, we value engineers who love reskilling, following agile best practices, and maintaining an evolving mindset.

Core Responsibilities

Customer and Stakeholder Collaboration

• Customer Delight: Maintain a strong customer-first attitude while designing, building, and deploying products.
• Technical Communication: Articulate complex technical trade-offs clearly to both business stakeholders and engineering teams.
• Pipeline Management: Manage customer relationships effectively to ensure a continuous flow of project scope, maintaining clear team backlogs.

Job Requirements

• Experience: 3+ years of proven software engineering experience, with a track record of leading small engineering teams or mentoring junior devs.
• High-Throughput Backend Focus: 3+ years of experience engineering robust, real-time backends specifically using Go (Golang) or Java.
• Polyglot and Integration Capability: Deep expertise in at least one or two additional languages/frameworks from our ecosystem: Python, TypeScript, Node.js, React.js, Angular, C#, or C++.
• Computer Science Fundamentals: Excellent knowledge of complex Data Structures, algorithms, and their correct situational usage.
• Adaptability: A passionate programmer who is genuinely open and excited to learn new software development skills as required by changing project demands.

Bonus / Added Advantages

• AI & Intelligent Automation: Hands-on knowledge of AI concepts, Large Language Models (LLMs), and experience building or integrating AI agents to automate complex workflows or security processes.
• Cybersecurity Domain: Experience in the cybersecurity space (SIEM, SOAR, or platform security).
• Modern Web Tech: Strong experience in developing software using modern web technologies.
• E2E Lifecycle: Proven background handling a project completely from discovery to cloud/on-prem deployment.
• Open Source: Active contributions to the Open Source community. (Please share your GitHub/GitLab links in your application!)

Zeuron.ai – White Box Testing Intern (Software Systems)

Role Overview

Zeuron.ai is looking for 2 highly motivated interns with a strong foundation in software systems and

logical reasoning to work on white box testing of core product modules. This role involves working

directly with source code, validating system behavior, and ensuring robustness across AI-driven and

embedded platforms.

You will work closely with the core engineering team on real systems spanning AI, gaming, and

neuro-tech (MiMo ecosystem).

Key Responsibilities

• Perform white box testing on software modules

• Design and execute unit tests and integration tests

• Analyze source code to identify logical errors and edge cases

• Debug issues in collaboration with developers

• Write and maintain test cases and documentation

• Contribute to improving system reliability and performance

Required Skills

• Strong understanding of programming fundamentals

• Good knowledge of data structures and algorithms

• Proficiency in at least one programming language (Python / C++ / Java)

• Ability to read and understand existing codebases

• Logical thinking and problem-solving ability

Preferred Skills (Good to Have)

• Familiarity with unit testing frameworks

• Experience with Git or version control

• Exposure to automation or scripting

• Interest in AI, embedded systems, or game logic

Candidate Background

• B.Tech (CSE & Electronics)/ M.Tech/M.Sc (Computer Science)

• Strong academic foundation and interest in systems-level thinking

Internship Details

• Location: Bangalore (Electronic City)

• Duration: 6 months

• Start Date: November 16, 2026, or November 23, 2026

• Stipend: ₹15,000 per month

• Open Positions: 1

What You’ll Gain

• Hands-on experience with real-world production systems

• Exposure to AI + neuro-tech + gaming platforms

• Deep understanding of debugging and system validation

• Opportunity to work in a fast-paced deep-tech startup

How to Apply

Send your resume along with: - GitHub or project links (if any) - A short note on: “How would you test

a system if you had full access to its source code?”

Why this role exists 

Most systems work at a low scale. 

Very few survive real production load, complex workflows, and enterprise edge cases. 

We are building a platform that must: 

1. Scale from 500K → 20M+ interactions/month 
2. Handle complex insurance workflows reliably 
3. Become easier to deploy as it grows, not harder 
4.  
5. This role exists to build the backend foundation that makes this possible. 

What you’ll do 

You will not just write services. 

You will design and own core platform systems. 

1. Scale the platform without breaking architecture 

1. Scale from 50K → 4M+ interactions/month 
2. Ensure: 
3. High availability 
4. Low latency 
5. Fault tolerance 
6. Avoid large rewrites — build systems that evolve cleanly 

2. Build the workflow automation (WA) engine 

1. Design a flexible system with: 
2. States 
3. Stages 
4. Cohorts 
5. Dynamic workflows 
6. Ensure workflows: 
7. Handle edge cases reliably 
8. Can be configured easily 
9. Move from: 
10. Hardcoded flows → configurable execution engine 

3. Build the insurance-specific data layer 

1. Design data models for: 
2. Policy states 
3. Claim workflows 
4. Consent tracking 
5. Ensure the system works across: 
6. Multiple insurers 
7. Multiple use cases 
8. Build a platform-first data layer, not use-case-specific hacks 

4. Make deployment and setup simple 

1. Ensure workflows and data models are: 
2. Easy to configure 
3. Easy to launch 
4. Reduce friction for: 
5. Product teams 
6. Deployment teams 

5. Create a compounding data advantage 

1. Build a data layer that: 
2. Improves with every deployment 
3. Captures structured signals 
4. Ensure data becomes a long-term edge, not just storage 

6. Own production reliability 

1. Participate in on-call rotation across 3 engineers 
2. Ensure: 
3. Incidents are handled quickly 
4. Root causes are fixed permanently 
5. Build systems where reliability is shared, not individual 

What success looks like 

1. Platform scales to 2M+ interactions/month smoothly 
2. Workflow engine supports complex, dynamic use cases 
3. Data layer enables fast deployment across accounts 
4. Edge cases are handled without constant firefighting 
5. System becomes easier to use as it grows 
6. Production issues are rare and predictable 

Who you are 

1. You have built: 
2. Scalable systems 
3. Distributed services 
4. You think in: 
5. Systems 
6. Data models 
7. Trade-offs 
8. You are comfortable owning: 
9. Architecture 
10. Production systems 

What will make you stand out 

1. Experience building: 
2. Workflow engines 
3. State machines 
4. Data-heavy platforms 
5. Strong understanding of: 
6. System design 
7. Distributed systems 
8. Failure handling 
9. Experience working in: 
10. High-scale production environments 

Why join 

1. You will build the core backend of an AI platform 
2. Your work directly impacts: 
3. Scale 
4. Reliability 
5. Product capability 
6. You will design systems that move from: 
7. Use-case specific → platform-level infrastructure 

What this role is not 

1. Not just API development 
2. Not limited to feature-level work 
3. Not disconnected from production realities 

What this role is 

1. A system architect 
2. A builder of scalable platforms 
3. A driver of long-term technical advantage 

One question to self-evaluate 

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow? 

Position Overview:

We are building a new retail merchandising platform on top of that data. It answers what to stock, how much,

and in which store—combining sales, catalogue, and customer data with GeoIQ’s location attributes at retail

scale: thousands of stores, tens of thousands of SKUs, decisions made weekly.

As part of the data science team on this platform, you will build the forecasting, assortment and

recommendation models behind those decisions. The platform is new, so the models are being built now, not

maintained. Hands-on modelling with senior review — what you ship changes what a store actually orders.

Responsibilities:

● Build SKU- and store-level demand forecasts, including for new products with little or no sales history.

● Build assortment models — which products earn shelf space in which stores or store clusters, and how

a range change is likely to play out.

● Build recommendation and ranking models for product discovery, cross-sell and bundling, including

cold-start for new products and customers.

● Engineer features from sales, seasonality, promotions, pricing, catalogue hierarchy, store attributes and

GeoIQ’s location and demographic layers.

● Handle the realities of retail data: intermittent demand, stockouts censoring true demand, returns and

cannibalisation between similar SKUs.

● Design backtests and A/B tests that reflect how planners use the output; monitor deployed models for

drift.

● Build data pipelines and work with engineering to take models to production.

● Communicate findings to merchandising, category, and product teams.

Expectations:

● Proficient in Python

● Work experience: 1–3 years

● Prior experience with building ML models end-to-end

● Prior experience with SQL

● Knowledge of statistical techniques and model evaluation

● Experience with time-series forecasting or recommender systems will be an added advantage

● Experience with retail, e-commerce, supply chain, or spatial data will be an added advantage

Join us early and help build the merchandising brain for retail at national scale — close to the product and the

customer, with the freedom of a platform still being shaped.

Snowflake Administrator

What You’ll Do

• Observability: Monitor Snowflake queries, virtual warehouses, tasks, data loads, and overall account health. Identify and resolve operational issues.
• FinOps & Cost Optimization: Monitor credit consumption, storage, and warehouse costs. Optimize warehouse sizing, auto-suspend settings, and resource monitors.
• User Management: Manage Snowflake users, roles, onboarding, offboarding, and Role-Based Access Control (RBAC).
• Privilege Access Management: Review grants, privileged roles, access policies, and audit logs to enforce the principle of least privilege.
• Platform Maintenance: Maintain Snowflake account settings, integrations, and routine operational health checks.
• Service Desk Management: Triage incidents and service requests, investigating query failures, access issues, and platform-related problems.
• Enhancements & Automation: Improve Snowflake configurations, automate operational tasks, and streamline support processes.
• Business Continuity & Recovery: Support backup and retention policies, Time Travel, Fail-safe, and data recovery procedures.
• Deployment & CI/CD: Support controlled releases of Snowflake objects, roles, scripts, and configurations through CI/CD pipelines.
• Data Load Troubleshooting: Resolve issues related to Snowpipe, COPY commands, stages, file formats, connectivity, and scheduled data loads.
• Transformation & Data Model Support: Perform first-line troubleshooting of failed tasks, SQL errors, and schema changes.
• Functional Data Support: Investigate initial data availability and quality issues, coordinating with data owners for resolution.
• Project Support: Assist engineering teams with Snowflake environments, integrations, and migrations.
• Documentation: Maintain runbooks, access management procedures, operational guides, and knowledge base articles.

What We’re Looking For

• 5+ years of experience in data platform administration, operations, or production support, including hands-on Snowflake experience.
• Strong knowledge of Snowflake administration, including RBAC, virtual warehouses, query history, performance tuning, and cost optimization.
• Hands-on experience with Snowflake data loading, stages, tasks, Snowpipe, and cloud platforms such as AWS or Azure.
• Proficiency in SQL and familiarity with Python for scripting and automation.
• Experience with CI/CD pipelines, Jira, ITSM processes, and monitoring or automation tools.
• Strong troubleshooting, documentation, communication, and stakeholder management skills.

We are looking for a Senior Full Stack Engineer to join our lean, high-impact engineering team. This is a key founding-team role where you will work closely with the CTO and help build the engineering foundation of the company.

The ideal candidate is a backend-strong full-stack engineer with solid Python and React experience, a strong understanding of AI/LLMs, and the ability to independently take ownership of projects from idea to production.

What You'll Do:

• Build and scale applications across the backend and frontend
• Develop backend services and APIs using Python
• Build and maintain frontend applications using React
• Design and implement AI/LLM-powered applications and features
• Work with AI services and integrate them into real-world applications
• Contribute to system design and architecture
• Work with cloud infrastructure and services
• Take ownership of features and initiatives from ideation to production
• Identify problems and proactively drive solutions without requiring constant direction
• Work closely with the CTO and founding team to shape engineering practices and future systems
• Communicate technical concepts clearly to technical and non-technical stakeholders

What We're Looking For:

• 3–6 years of software engineering experience
• Strong experience with Python
• Good hands-on experience with React
• Strong backend development experience with full-stack exposure
• Practical understanding of AI, LLMs and AI services
• Experience building at least one meaningful AI project beyond basic API/chatbot integrations
• Experience taking an AI/ML application or feature into production is preferred
• Exposure to cloud platforms
• Good understanding of system design and software architecture
• Strong problem-solving and ownership mindset
• Excellent communication skills and ability to explain complex technical concepts in simple language
• Genuine hands-on experience with the technologies mentioned on the resume

What Makes This Role Different:

This is not a typical execution-focused engineering role. We are building a lean "A-team" of experienced engineers who will eventually help shape the team and take on senior/leadership responsibilities.

We're looking for someone who:

• Takes initiative rather than waiting for tasks
• Can work independently in an early-stage environment
• Is comfortable exploring and building with AI
• Can go deep into the work they've done and explain the technical decisions behind it
• Wants significant ownership and influence over the product and engineering direction

Location & Compensation

• Work Mode: Remote initially
• Future Location: Expected relocation to Bangalore in approximately 1 year
• Working Hours: Regular IST hours
• Travel: Potential opportunities to travel to Germany

Interview Process:

3 Rounds

1. Technical & Project Deep Dive – Conversational discussion around past projects, AI experience and technical depth
2. System Design & Technical Round – Deeper technical and architecture discussion
3. Founder Round – Communication, culture fit, ownership and initiative

Data Scientist – Machine Learning & Applied Analytics. 

Location: Bengaluru 

Experience: 5–8 Years 

Role Type: Full-Time 

Business Unit: Products & Platforms (PMG) 

Role Overview 

We are looking for a Data Scientist – Product Analytics & Machine Learning to help build differentiated analytics and ML capabilities across our product and platform portfolio, including MOBIUS+ and Signate. 

This is a hands-on product-focused role responsible for translating real-world customer and domain problems into scalable analytics and machine learning solutions. The role will work across the complete lifecycle — from data exploration and experimentation through model development, validation, productization and production monitoring. 

The Data Scientist will also work closely with Tata Elxsi's internal analytics teams, specialist solution providers and academic/research institutions to evaluate, integrate and evolve analytical capabilities as part of our products. 

Key Responsibilities 

Product Analytics & ML 

• Translate product and customer problems into well-defined analytics and ML use cases. 
• Perform data exploration, feature engineering, statistical analysis and experimentation. 
• Develop, train, validate and optimize machine learning and predictive models. 
• Define appropriate model performance metrics, benchmarks and acceptance criteria. 
• Convert prototypes and experiments into scalable, production-ready capabilities. 
• Work with Product, Architecture and Engineering teams to integrate models and analytics into SaaS products and platforms. 

Model Evaluation & Productization 

• Evaluate models and analytical solutions developed by internal teams, technology partners and specialist solution providers. 
• Assess model assumptions, data requirements, accuracy, robustness, explainability and limitations. 
• Benchmark alternative models/approaches and provide evidence-based recommendations. 
• Establish practices for model versioning, validation, monitoring, drift detection and continuous improvement. 
• Ensure that externally sourced models can be effectively integrated, governed and evolved within the product. 

Collaboration & Research 

• Collaborate with Tata Elxsi's broader AI, analytics and domain teams and leverage specialist capabilities where required. 
• Work technically with external solution providers to understand and integrate their algorithms and models. 
• Engage with researchers and academic institutions such as IITs, NITs and IISc on advanced analytics and ML opportunities. 
• Evaluate research, algorithms and PoCs and help translate promising approaches into production-grade product capabilities. 
• Build reusable analytical assets, datasets, features, evaluation frameworks and know-how across the product portfolio. 

Technical Skills 

• Strong foundation in statistics, probability, machine learning and data analysis. 
• Strong hands-on programming skills in Python and common data science libraries. 
• Experience with Pandas, NumPy, scikit-learn and relevant ML frameworks. 
• Experience developing predictive models using structured and time-series data. 
• Understanding of supervised/unsupervised learning, anomaly detection, forecasting, classification and regression techniques. 
• Experience with feature engineering, model selection, hyperparameter optimization and model evaluation. 
• Good understanding of model explainability, bias, uncertainty and robustness. 
• Working knowledge of SQL and large-scale data processing. 
• Experience deploying or integrating ML models into production applications through APIs, services or ML pipelines. 
• Understanding of MLOps, including model versioning, experiment tracking, monitoring and model lifecycle management. 
• Experience with cloud environments, preferably AWS, is desirable. 
• Exposure to GenAI/LLMs and their application within product analytics is an advantage. 

Product & Engineering Mindset 

• Ability to move beyond experimentation and think about how analytics becomes a repeatable product capability. 
• Strong problem-solving ability and comfort working with incomplete or imperfect real-world datasets. 
• Ability to distinguish between an interesting analytical result and one that creates measurable customer/product value. 
• Comfortable working closely with Product Managers, Domain SMEs, Architects and Software Engineers. 
• Ability to critically evaluate third-party algorithms and models rather than treating external solutions as black boxes. 
• Strong technical communication skills and ability to explain analytical concepts and model outcomes to both technical and business stakeholders. 

Preferred Experience 

• 5–8 years of relevant experience in Data Science, Machine Learning, Applied Analytics or related roles. 
• Experience building ML/analytics capabilities that have been deployed into production products or platforms. 
• Experience working with automotive, mobility, connected vehicle, battery/EV, IoT or industrial datasets is desirable but not mandatory. 
• Experience collaborating with technology partners, research organizations or academic institutions is an advantage. 
• Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related quantitative discipline preferred. 

What Success Looks Like 

The successful candidate will help PMG establish a strong internal Data Science & ML capability that can build differentiated analytics, intelligently leverage Tata Elxsi's broader capabilities and external specialists, and retain the knowledge and ownership required to continuously evolve analytics as a core part of our products and platforms. 

Strong Data Engineer (AWS) Profile

2

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

3

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

4

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

5

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

6

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

7

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

8

Mandatory (Education) – B.Tech / B.E./ M.Tech

🚨 HIRING | Data Engineer – Amazon EMR 🔥

We are looking for experienced Data Engineers with strong hands-on expertise in Amazon EMR, Python, and Scala.

📌 JOB DETAILS:

💼 Experience: 6+ Years

💰 CTC: Up to 30 LPA

📍 Location: Bangalore

🔑 MANDATORY SKILLS:

• Amazon EMR

• Python

• Scala

• Data Engineering

📋 KEY REQUIREMENTS:

• 6+ years of relevant experience in Data Engineering.

• Strong hands-on experience with Amazon EMR.

• Strong programming skills in Python and Scala.

• Experience with large-scale data processing and data engineering solutions.

• Strong problem-solving and communication skills.

📩 Interested candidates can share their updated resumes:

📧 pavithra.e @vysystems. com

📞 8 9 2 5 8 0 2 4 5 7

🔄 Know someone who would be a good fit? Tag them or share this post!

#Hiring #DataEngineer #DataEngineering #AmazonEMR #Python #Scala #AWSJobs #BangaloreJobs #ITJobs #TechHiring #HiringNow

We are hiring experienced Data Engineers for a permanent opportunity in Bangalore.

Job Description

Role: Data Engineer

Location: Bangalore

Experience: 6+ Years

Key Responsibilities:

• Design, develop, and maintain scalable data processing pipelines using Amazon EMR.
• Develop data engineering solutions using Python and Scala.
• Process and transform large volumes of structured and unstructured data.
• Build and optimize distributed data processing workflows for performance and scalability.
• Work with big data technologies and cloud-based data processing environments.
• Perform data integration, validation, transformation, and quality checks.
• Troubleshoot data pipeline issues and optimize processing performance.
• Collaborate with data architects, analysts, and development teams to deliver reliable data solutions.

Required Skills:

• Strong hands-on experience with Amazon EMR.
• Proficiency in Python and Scala.
• Experience in big data processing and data pipeline development.
• Good understanding of distributed computing and data transformation techniques.
• Experience in performance tuning and troubleshooting data processing jobs.
• Strong analytical, problem-solving, and communication skills.

Java, Spring Boot, Angular, Python

Java python Angular - 4 to 7 yrs (Bangalore)

interested candidate: 6 3 8 5 0 7 6 1 4 2

Email: revathi.r @ vysystems. com

Share the CV in WhatsApp or email

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Job Description – Java + Python + Angular Developer

Job Title: Java + Python + Angular Developer

Experience: 4–7 Years

Location: Bangalore

CTC: 26–30 LPA

Mandatory Skills

• Java
• Spring Boot
• Angular
• Python

Roles & Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot.
• Develop robust backend services and REST APIs using Java.
• Build responsive and reusable frontend applications using Angular.
• Develop Python-based applications, scripts, and automation solutions as required.
• Integrate frontend and backend services through REST APIs.
• Troubleshoot, debug, and optimize application performance.
• Write clean, maintainable, and reusable code following development best practices.
• Participate in code reviews, testing, and application deployment activities.
• Collaborate with cross-functional teams to understand requirements and deliver quality solutions.
• Ensure applications are scalable, secure, and reliable.

Candidate Requirements

• 4–7 years of relevant software development experience.
• Strong hands-on experience in Java and Spring Boot.
• Good experience with Angular for frontend development.
• Strong programming experience in Python.
• Good understanding of REST APIs and full-stack application development.
• Strong problem-solving and communication skills.
• Candidates should be willing to work from Bangalore.

INTERESTED CANDIDATE SHARE RESUME TO BELOW WHATSAPP OR EMAIL

AEM Developer

Mandatory Skills – AEM Developer Integration is must

AEM, AEM Basics, AEM Integration,Sling Model Servlets,Slingjobs,Schedulers, Workflows, AEM APi, OSGI, Java

location : Bangalore

exp: 5- 7

Notice Period:- Immediate joiners or 15 days

WhatsApp or call: 6 3 8 5 0 7 6 1 4 2

email: revathi.r @ vysystems . com

roll: UiPath RPA Developer

skill: UiPath , Orchestrator , RE Framework , Dispatcher–Performer Framework , Document Understanding, Python /VB.NET/.NET

exp: 6 - 10 Years

location : Bangalore

Notice Period:- Immediate joiners or 15 days

WhatsApp/Call: 6 3 8 5 0 7 6 1 4 2

interested candidate kindly text to this WhatsApp number

{ contact No: 8 9 2 5 8 0 2 4 5 7 } , pavithra.e @vysystems. com

Job Description – Java Full Stack + DevOps Developer

Job Title: Java Full Stack + DevOps Developer

Experience: 8+ Years

Location: Bangalore / Hyderabad

CTC: Up to 30 LPA

Notice Period: Immediate to 20 Days

Mandatory Skills

• Java
• Java Full Stack Development
• Angular or React
• Python
• DevOps
• CI/CD

Roles & Responsibilities

• Design, develop, and maintain scalable Java Full Stack applications.
• Develop robust backend services using Java and related frameworks.
• Build responsive and reusable frontend applications using Angular or React.
• Develop and integrate REST APIs between frontend and backend systems.
• Use Python for automation, scripting, and application support as required.
• Implement and maintain DevOps practices across the application lifecycle.
• Design, configure, and maintain CI/CD pipelines for automated build, deployment, and release processes.
• Collaborate with development, QA, DevOps, and other cross-functional teams.
• Troubleshoot application and deployment issues and optimize system performance.
• Follow coding standards, security practices, and software development best practices.
• Participate in code reviews and provide technical guidance to team members.

Candidate Profile

• 8+ years of strong experience in Java Full Stack Development.
• Strong hands-on experience with Java and Angular or React.
• Good working knowledge of Python.
• Strong understanding of DevOps and CI/CD practices.
• Experience working across development, deployment, and automation activities.
• Strong problem-solving and communication skills.
• Candidates available to join immediately to 20 days are preferred.

We’re Hiring: Java & Angular Developer with Python & LLM

📍 Location: Bangalore

💼 Experience: 4–6 Years

🕒 Employment Type: Full-time

We are looking for a skilled Full Stack Developer with strong experience in Java backend development and Angular frontend development, along with Python knowledge for API and LLM integration.

Mandatory Skills:

• Java
• Microservices
• Spring Boot
• Angular
• Python

Role & Responsibilities:

Develop and maintain scalable enterprise applications using Java, Spring Boot, and Microservices. Build responsive web applications using Angular and TypeScript. Design and integrate REST APIs, and use Python to connect applications with external APIs and LLM-based services.

Work closely with cross-functional teams to deliver secure, high-quality applications while following coding standards, testing practices, and Agile methodologies.

Preferred Skills: REST APIs, SQL/DB2, Kafka or MQ, Git, CI/CD, Cloud platforms, and exposure to LLM, GenAI, or RAG-based applications.

📩 Interested candidates can share their updated resumes or refer suitable profiles.

#Hiring #JavaDeveloper #SpringBoot #Microservices #AngularDeveloper #Python #FullStackDeveloper #LLM

GCP Data engineer

Exp 9+yrs

Bangalore/Hyderabad

Lead exp+ Python + pyspark + sql or plsql

immediate to 15days joiners

Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2

About the company

We are an AI diffusion company. We partner with midmarket companies in asset-heavy, regulated industries to co-build deeply industry-specific agentic and machine learning solutions, which then get diffused across the industry through revenue-share and equity-linked models.

Our Past

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Team

Our team of 20+ employees consists of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH. Our team includes academicians, IBM Research Fellows, and former founders. This role focuses on healthcare and RCM, working alongside our AI/ML engineers, data scientists and domain specialists.

Key Responsibilities

• Lead product ideation, solution design, and technical strategy from concept to execution.
• Drive end-to-end product development, translating business needs into scalable technical solutions.
• Build and lead engineering teams to deliver high-impact products.
• Design and develop robust data systems to process and structure unorganized data from ERP/CRM platforms.
• Leverage AI and domain expertise in healthcare/RCM to build innovative solutions.
• Drive technology-led growth, with a focus on product scalability and business outcomes.

\Required Skills & Experience

• 15–20 years of experience in technology leadership, preferably as a CTO or senior technology leader.
• Proven experience building and/ or exiting startups.
• Strong expertise in data engineering, complex data systems, and unstructured data processing.
• Experience with AI-driven products, preferably in healthcare or Revenue Cycle Management (RCM).
• Strong product thinking, system design, architecture, and end-to-end execution capabilities.
• Ability to translate business requirements into technical roadmaps and scalable products.

What you need • • • • • • Delivered inside a regulated environment: code review, change control, a real audit trail. Based in, or able to relocate to, Bengaluru or Mumbai for the engagement. 7–15 years building production software, with .NET (C#, ASP.NET Core) as your primary stack. Python you have shipped and maintained — services, pipelines or AI components other people depend on, not occasional scripting. Hands-on work with LLMs in production: retrieval-augmented generation, prompt and agent design, and a clear account of how you evaluated whether it worked. Comfortable across SQL, REST and asynchronous integration patterns, on Azure or AWS, with CI/CD, containers and infrastructure as code. Good to have • • Migration work from .NET Framework to modern .NET. Azure OpenAI, Semantic Kernel, LangChain or LlamaIndex. • • Snowflake, including Cortex. Real estate, lease management or corporate services domain exposure

About Juicelabs

Where creative engineering meets applied AI.

We build vertical, AI-native tools that unlock fresh insights and creative superpowers for clients in advertising, ecommerce, and beyond. We're a nimble team of founders and builders obsessed with using AI to solve real problems in ways that didn't exist eighteen months ago.

The Opportunity

A year ago, we would have posted this as a backend role. That role doesn't really exist any more.

Code has become nearly invisible. Agents write it, test it, and iterate on it faster than anyone could read it. What's left is the work above it: deciding what's worth building, designing systems that hold up at 10x, and building the setup that turns a clear spec into working software.

That's the job. At your level, it isn't one system. It's several workstreams, running at once.

You'll work directly with our Cofounder/CTO on products going from zero to one, with AI at the core of both what we build and how we build it. Real ownership, real scope, and an unusual amount of leverage: one engineer with good judgment and a well-tuned agent setup now ships what a small team used to.

What you'll do

• Own multiple workstreams in parallel. Two or three features of the same product moving at once, each with its own scope, edge cases, and failure modes. You decide where your attention goes this week, and nothing goes stale.
• Run a fleet, not a single agent. Design the setup that makes high-throughput work possible: how work gets broken down, specced, and run across many agents at once, so output scales without things breaking.
• Design the system. Service boundaries, data models, failure modes. Make the architectural calls before a line gets generated, and be able to explain the trade-off six months later.
• Write the spec. PRDs and technical designs are the new source code. A vague spec produces confidently wrong software, fast. Scope, edge cases, non-goals, what "done" means.
• Own it end to end. Ideation → design → build → deploy → monitor → iterate, including functional UX. Nobody hands you tickets.
• Set the workflow. Bring your harness: CLAUDE.md, AGENTS.md, subagents, custom commands, eval loops — whatever makes agents reliable rather than merely impressive. We want to steal your good ideas.

What we're looking for

• High agency. You see the gap and close it. You don't wait for direction, and you don't need to be chased for follow-through. This is the single trait we screen hardest for. And you can do it across several workstreams at once, without dropping threads.
• Real system design depth. You can reason about consistency, caching, queues, and scale — and about complexity, because you need to know when an elegant-looking solution is quietly quadratic. LeetCode ninja not required. Being able to explain why this won't blow up at 10x, very much required.
• Clear thinking, put to paper. You get the thinking straight first, then write it down so nobody has to guess: PRDs, design docs, PR comments. Writing is most of how you'll direct both humans and models, and muddy thinking on paper becomes muddy software.
• You've shipped to production. Deployed things, monitored them, been paged by them, fixed them. Docker, CI/CD, cloud infra. Our stack is mostly Python (FastAPI), Postgres, GCP/AWS — but we care more about how you think than which framework you've memorised.
• You orchestrate AI, not just use it. Not "I've tried Copilot," and not just "I use Claude Code." You've run multiple agents in parallel and developed opinions: how to split work so they don't step on each other, where they excel, where they confidently lie, how you structure a repo so they don't wander, and how you verify what comes back at volume.
• Startup energy. Multiple hats, fast cycles, and the judgment to balance "ship it now" against "will this survive contact with real users?"

Experience

3–6 years of professional experience (full-time positions, excluding internships).

Location / How to apply

On-site at our office in HSR Layout, Bangalore.

Apply through this posting, or email us with a link to the best thing you've built.

Responsibilities

● Architect and build end-to-end backend services and APIs.

● Integrate with external systems such as insurers, payment gateways, and other

partners.

● Ensure high observability, performance, and reliability across systems.

● Write clean, reusable, and maintainable code with a focus on scalability.

● Implement comprehensive test coverage and maintain code quality.

● Manage database design, migrations, scripting, and administration.

Experience & Skills

● 2-8 years of experience in backend development.

● Hands-on experience with low-level & high-level system design.

● Proven experience building scalable, secure backend systems (APIs, middleware, caching).

● Proficiency in Python, Django, Django REST Framework (DRF), PostgreSQL, Redis,

Celery, and basic HTML/CSS.

● Experience developing RESTful APIs.

● Familiarity with AWS or other major cloud platforms is a plus.

● Strong sense of ownership, problem-solving ability, and leadership qualities.

Job Description

Role: UiPath RPA Developer

Location: Bangalore

Experience: 6–10 Years

Notice Period: Immediate Joiners

Interview Drive: Sunday

Key Responsibilities:

• Design, develop, test, and deploy RPA bots using UiPath.
• Work with UiPath Orchestrator, REFramework, and Dispatcher–Performer Framework.
• Develop workflow-based automations using queues, libraries, and reusable components.
• Implement document processing solutions using UiPath Document Understanding.
• Develop automation scripts using Python, VB.NET, or .NET.
• Build integrations using REST APIs, web services, and enterprise systems.
• Manage unattended bots and multi-bot architecture.
• Troubleshoot automation issues and follow Agile SDLC practices.

Required Skills:

• Minimum 6 years of RPA development experience.
• Strong expertise in UiPath Architecture and Product Suite.
• Hands-on experience with Orchestrator, REFramework, and Dispatcher–Performer Framework.
• Experience with queues, libraries, and workflow automation.
• Proficiency in Python, VB.NET, or .NET.
• Experience with UiPath Document Understanding.
• Knowledge of unattended bots, multi-bot architecture, REST APIs, and web services.
• Basic understanding of AI, Machine Learning, and Agile methodologies.

Location -Bangalore

Work Mode -Fully in-office, 6 days a week

Experience -3+ years in AI engineering, with LLM-based systems shipped to production

About the Role

● The AI Engineer will own systems that read, search and reason over project and tender documents.

● Inputs include large tender packages, scanned PDFs, BOQs, tables, forms and engineering drawings such as P&IDs.; Outputs should include accurate answers with source references, structured data and workflows used by estimators and project teams in live bids, planning, procurement and execution.

● The role covers taking features from initial experiments to production and owning their accuracy, latency and cost after release.

Key Responsibilities

Agents and Retrieval

● Build AI agents that plan and execute multi-step tasks using document search, tools and APIs.

● Build RAG pipelines covering ingestion, retrieval, reranking and answers with source references.

● Use agent workflows within retrieval to refine searches, collect supporting evidence and verify outputs.

Document Intelligence

● Build extraction pipelines for PDFs, scanned documents, tables and forms.

● Convert unstructured tender content into structured data that the platform can use.

Vision and Image Understanding

● Build image-understanding workflows for P&IDs;, including symbols, equipment, labels and connections.

● Locate and remove selected elements from diagram images while preserving surrounding content.

Quality and Reliability

● Create evaluation datasets and automated checks to measure accuracy and catch regressions.

● Debug failures across retrieval, agent decisions, tool calls and model outputs.

Product and Production

● Build backend services and REST APIs. ● Integrate AI features into the Workwise web application.

● Take features from experiment to production while managing reliability, latency and cost

Required Qualifications

● 3+ years of hands-on experience building AI systems, including at least one LLM-based application running in production.

● Strong Python and software engineering fundamentals.

● Experience with backend services, REST APIs, databases, authentication and frontend integration.

● Experience building applications using LLM APIs.

● Working knowledge of RAG, embeddings, retrieval and vector databases.

● Experience with tool calling, structured outputs and multi-step agent workflows.

● Working understanding of multimodal models and image processing for visual analysis and editing.

● Systematic evaluation skills: measuring results and investigating system failures.

● Ownership of implementation, testing, deployment and ongoing improvement.

Good to Have

● OCR, document layout analysis or complex table extraction.

● Computer vision experience, including object detection, segmentation or image inpainting.

● Familiarity with construction, procurement or tender documents.

● Cloud infrastructure and production monitoring.

● Working knowledge of Go. 

GCP Data engineer (L1 virtual, L2 or DM F2F )

GCP + Python + Pyspark + sql + Lead

8+yrs

Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)

immediate to 15days

5-8 years building production software, with .NET (C#, ASP.NET Core) as your primary stack. Python you have shipped and maintained — services, pipelines or AI components other people depend on, not occasional scripting. Hands-on work with LLMs in production: retrieval-augmented generation, prompt and agent design, and a clear account of how you evaluated whether it worked. Comfortable across SQL, REST and asynchronous integration patterns, on Azure or AWS, with CI/CD, containers and infrastructure as code. deliered inside a regulated environment: code review, change control, a real audit trail. Based in, or able to relocate to, Bengaluru or Mumbai for the engagement

🚀 Hiring: Senior GCP Data Engineer

We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.

📌 Job Details:

• Role: Senior GCP Data Engineer
• Experience: 8+ Years
• Budget: Up to ₹30 LPA
• Location: Bangalore / Hyderabad
• Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
• Notice Period: Immediate to 15 days
• Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)

💻 Required Technical Skills:

• Strong hands-on experience with GCP data engineering.
• Excellent proficiency in Python, PySpark, and SQL.
• Experience in designing, developing, and optimizing data pipelines.
• Good understanding of ETL/ELT processes and large-scale data processing.
• Experience working with cloud-based data platforms and data warehousing.
• Strong analytical, problem-solving, and communication skills.

⭐ Preferred Skills:

• Previous experience as a Technical Lead or leading a data engineering team.
• Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.

Job Description-

Location- Bengaluru

Experience-5-7 years

Wissen is building the engineering team for RES Modernization, a corporate services programme at a leading global financial services firm, rebuilding the lease and real estate management platform on a cloud stack with AI and agentic capability designed in rather than bolted on. The AI Solution Engineer builds that product: .NET services and APIs at the core, Python wherever the AI, retrieval and data work lives. We want a strong .NET engineer who has moved into Python, not a Python specialist who once touched C#.

• Build features end to end on a .NET codebase: C# and ASP.NET Core services, the APIs above them, and the React or Angular front end where a feature needs one.
• Write the Python that carries the AI work — retrieval and grounding, prompt and agent orchestration, evaluation harnesses, and the pipelines that feed them.
• Put LLM and agentic capability into real product workflows, with the grounding, guardrails and cost and latency budgets a regulated environment demands.
• Take your work through the client's engineering and change review: design notes, test evidence, security and code-quality gates.
• Work with the stream's data and integration engineers on the Snowflake and integration layer the product reads from.

GEMBA CONCEPTS

Experience: ~3–5 years Type: Full-time

AI/ML Engineer

Location: Bengaluru, India (Hybrid)

About Gemba Concepts

Gemba Concepts is a lean manufacturing and technology consulting firm helping clients across pharma, manufacturing, and logistics

modernize how they operate. We build production systems that sit close to the shop floor — warehouse management, manufacturing

traceability, and an applied AI/ML platform whose flagship use cases are visual quality inspection and predictive maintenance. We’re a

tight engineering team that ships real systems for demanding, often regulated, environments.

The Role

We’re looking for an AI/ML Engineer to take ML capabilities from prototype to production. You’ll own models end-to-end — framing the

problem with stakeholders, building and validating the model, and deploying it as a reliable service that holds up against real-world, messy

industrial data. This is a hands-on building role, not a pure research seat: your work goes into client-facing systems.

What You’ll Do

Build and ship computer vision models for visual quality inspection (defect detection, classification, segmentation) that perform under

real factory lighting, throughput, and edge-case conditions.

Develop predictive maintenance models using sensor/time-series data — anomaly detection, remaining-useful-life estimation, failure

prediction.

Own the full ML lifecycle: data pipelines, feature engineering, training, evaluation, and deployment, with proper versioning and monitoring.

Deploy and serve models in production on Azure (AKS), and keep them healthy — track drift, retraining triggers, and latency.

Integrate LLM-based capabilities (we use the Claude API and self-hosted open models) into delivery and product workflows where they

add leverage.

Collaborate with product, engineering, and domain experts to translate fuzzy operational problems into well-scoped ML solutions — and to

know when ML is not the right answer.

Communicate results and limitations clearly to non-ML stakeholders, including clients.

What We’re Looking For

3–5 years of hands-on experience building and deploying ML models in production (not just notebooks or coursework).

Strong Python and the modern ML stack — PyTorch or TensorFlow, scikit-learn, NumPy/Pandas.

Solid grounding in at least one of: computer vision (CNNs, object detection/segmentation, image preprocessing) or time-series /

anomaly detection.

Practical MLOps experience: containerization (Docker), model serving, experiment tracking, and deploying on a cloud platform — Azure /

Kubernetes (AKS) is a strong plus.

Comfort working with imperfect, real-world data — labeling strategy, class imbalance, data drift, and validation that reflects production

reality.

Good engineering hygiene (Git, testing, code review) and the ability to write code others can build on.

Nice to Have

Experience with industrial / manufacturing data or regulated environments (pharma, 21 CFR Part 11 awareness).

Hands-on LLM integration experience — RAG, prompt engineering, working with APIs or self-hosted models (vLLM, Qwen, etc.).

Edge deployment experience (running CV models on-device / near the line).

Exposure to data pipeline tooling and orchestration.

What You’ll Get

Real ownership of ML systems that go into production for serious clients.

A lean, senior-heavy team where you ship fast and learn across the stack.

Direct exposure to applied AI in manufacturing — a domain where the work has tangible, physical impact

• Python Scripting: Proficient in writing clean, efficient scripts using Python for automation and problem-solving.

• Web Frameworks: Skilled in Django/Flask/FastAPI for backend and REST API development, with frontend knowledge (React/Angular/Vue).

• Testing: Experienced in unit and integration testing with pytest and ensuring code quality using linting tools.

• Data Analytics: Capable of processing and analysing data using Pandas, NumPy, and visualization libraries like Matplotlib.

• Version Control: Proficient in using Git for source code management and collaboration through branching and merge strategies.

• Databases: Strong in SQL and NoSQL database design, query optimization, and management.

• Tools: Familiarity with additional build tools and CI/CD systems (e.g., Jenkins, GitLab CI/CD).

• Cloud technologies: Familiarity with AWS/Azure or GCP.

• Problem-Solving: Excellent analytical and problem-solving skills related to build systems and processes.

• Communication: Strong verbal and written communication abilities.

Job Description – .NET + Python Developer

Position: .NET + Python Developer

Experience: 3–6 Years

Location: Bangalore / Hyderabad

Budget: Up to 10 LPA

Notice Period: Immediate Joiners Only

Hiring Contact: HR Sudhir

Job Summary

We are looking for skilled .NET + Python Developers with 3–6 years of experience in designing, developing, and maintaining scalable applications. The ideal candidate should have strong hands-on experience in .NET technologies and Python programming, along with good problem-solving and analytical skills.

Key Responsibilities

• Design, develop, test, and maintain applications using .NET technologies.
• Develop backend services, APIs, and business logic using C# and ASP.NET Core.
• Build automation scripts and backend solutions using Python.
• Work with REST APIs, databases, and third-party integrations.
• Write clean, reusable, and efficient code.
• Debug issues, troubleshoot applications, and optimize performance.
• Collaborate with cross-functional teams to deliver quality solutions.

Required Skills

• 3–6 years of experience in software development.
• Strong knowledge of .NET / .NET Core and C#.
• Hands-on experience with Python programming.
• Experience in REST API development and integration.
• Knowledge of SQL Server or other relational databases.
• Understanding of OOP concepts, data structures, and design principles.
• Good communication and problem-solving skills.

Job Description

We are looking for an experienced Python Full Stack – GenAI / Agentic AI Engineer with 5+ years of experience in software development and strong hands-on expertise in Python backend development, React JS, Generative AI, and Agentic AI.

The ideal candidate should have experience building scalable backend services, modern web applications, and AI-powered applications using LLMs, RAG, agentic frameworks, and cloud platforms.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python.
• Develop robust REST APIs and microservices using FastAPI, Flask, or Django.
• Design API architecture, authentication mechanisms, error handling, and integrations.
• Develop responsive and interactive frontend applications using React JS.
• Work with React components, hooks, state management, and API integrations.
• Build and integrate Generative AI OR Agentic AI applications using LLMs.
• Develop AI agents using frameworks such as LangChain and LangGraph.
• Implement RAG, embeddings, vector search, tool calling, memory, planning, and reasoning.
• Design and implement multi-agent systems and AI workflows.
• Apply prompt engineering techniques and appropriate guardrails for AI applications.
• Integrate AI applications with cloud-based AI platforms and services.
• Deploy applications using containers and cloud platforms.
• Work with CI/CD pipelines and application monitoring.
• Collaborate with cross-functional teams to design and deliver scalable solutions.

Required Skills

• 7+ years of overall software development experience.
• Strong hands-on experience in Python.
• Strong experience with FastAPI and REST API development.
• Experience with microservices architecture and API design.
• Hands-on experience with React JS.
• Strong experience in Generative AI / LLM applications.
• Hands-on experience in Agentic AI development.
• Experience with LangChain / LangGraph.
• Strong understanding of RAG, embeddings, vector search, and tool calling.
• Experience with multi-agent systems, memory, planning, and reasoning.
• Experience with at least one major cloud platform – AWS / Azure / GCP.
• Experience with containers, CI/CD, deployment, and monitoring.

Preferred Skills

• Google ADK
• Semantic Kernel
• Azure OpenAI
• Vertex AI
• AWS Bedrock
• Docker / Kubernetes
• AI application monitoring and observability
• Frontend testing and application performance optimization

● 4–7 years of backend development experience with Python or Golang.

● Strong expertise in designing, developing, and scaling microservices and distributed

systems.

● Solid understanding of concurrency, multi-threading, and performance optimization.

● Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached),

and messaging systems (Kafka, RabbitMQ, etc.).

● Hands-on experience with Linux development, Docker, and Kubernetes.

● Familiarity with cloud platforms (AWS/GCP/Azure) and related services.

● Strong debugging, profiling, and optimization skills for production-grade systems.

● Experience with AI-powered development tools is a strong plus; familiarity with

concepts like 'agentic coding' for workflow automation or 'context engineering' for

leveraging LLMs in system design is highly desirable.

● Ability to lead technical initiatives and mentor junior engineers.

Job Title: GCP Data Engineer

Experience: 6–8 years

Location : Bangalore

What are they looking for?

They need a Google Cloud Platform (GCP) Data Engineer who can build and maintain data pipelines, process large volumes of data, and manage data storage using Google Cloud services.

The candidate should have hands-on experience with batch and real-time data processing, ETL workflows, and cloud data warehousing.

Mandatory / Core Skills

• Google Cloud Platform (GCP)
• Google Cloud Dataflow
• Pub/Sub
• Apache Beam
• BigQuery
• Cloud Storage / Bigtable
• Cloud Composer (Apache Airflow)
• ETL / data pipeline development
• Apache Spark / Hadoop using Dataproc

Supporting Skills

• Cloud Data Fusion
• NoSQL databases
• Data quality and governance
• Data security, access controls, and encryption
• Batch and real-time streaming
• Preparing datasets for BI, analytics, and machine learning

Job Summary

We are looking for an experienced Network Engineer with strong expertise in network security, firewall administration, Check Point, Juniper SRX, routing protocols, and Python scripting. The candidate will be responsible for managing, configuring, troubleshooting, and optimizing enterprise network infrastructure while ensuring secure and reliable connectivity.

Key Responsibilities

• Configure, manage, and troubleshoot enterprise network devices, firewalls, and security appliances.
• Administer and maintain Check Point firewalls, including security policies, NAT rules, VPNs, and access control.
• Manage Juniper SRX firewalls, including security zones, policies, NAT, IPsec VPNs, and threat prevention.
• Implement and troubleshoot routing protocols such as BGP, OSPF, EIGRP, and static routing.
• Perform network troubleshooting related to connectivity, packet loss, latency, routing, and firewall traffic.
• Configure and maintain site-to-site VPNs and remote-access VPN solutions.
• Monitor network performance, analyze traffic logs, and investigate security incidents.
• Perform firewall rule reviews, configuration backups, software upgrades, and security patching.
• Develop Python scripts to automate network configuration, monitoring, reporting, and routine operational tasks.
• Work with network monitoring tools, packet analyzers, and logging platforms to identify and resolve network issues.
• Participate in incident management, root cause analysis (RCA), change management, and network maintenance activities.
• Maintain network documentation, configuration standards, and operational runbooks.