11+ Gerrit Jobs in Hyderabad | Gerrit Job openings in Hyderabad

Mandatory Skills

• C/C++ Programming
• Linux System concepts
• Good Written and verbal communication skills
• Good problem-solving skills
• Python scripting experience
• Prior experience in Continuous Integration and Build System is a plus
• SCM tools like git, perforce etc is a plus
• Repo, Git and Gerrit tools
• Android Build system expertise
• Automation development experience with like Electric Commander, Jenkins, Hudson

About the Role

We are looking for a Full Stack AI Engineer who can take an ambiguous problem and turn it into a complete, production-ready AI product.

This is a builder role.

You will work across the entire stack — AI models, agents, backend services, APIs, databases, data pipelines, frontend applications, infrastructure, and production deployment. You should be comfortable deciding what needs to be built, writing the code, deploying it, measuring whether it works, and continuously improving it.

We are not looking for someone who only builds notebooks, trains models, writes prompts, or creates architecture diagrams for another team to implement. We want engineers who ship complete products.

A typical project might involve designing an agentic workflow, building a retrieval pipeline, writing Python APIs, creating a React interface, integrating enterprise data, deploying to Kubernetes, implementing evaluations, and debugging the application in production.

The distance between an idea and working software should be measured in weeks, not quarters.

This role is based in Hyderabad and is 6 days per week in the office.

We are looking for:

1. A person that can smoothly navigate extreme ambiguity
2. Full stack software builder
3. AI depth, must have built a production AI system
4. Excellent top-notch communication and stakeholder management
5. Prioritizes growth over work-life balance

What You'll Do

Build AI Products End-to-End

• Own AI applications from problem definition through architecture, development, deployment, and production operation.
• Translate ambiguous product and business requirements into working software.
• Build across AI/ML, backend services, APIs, databases, frontend interfaces, data pipelines, authentication, infrastructure, and observability.
• Rapidly prototype, test with real users and data, and turn successful ideas into production-grade systems.
• Make pragmatic engineering decisions based on speed, reliability, simplicity, maintainability, and user value.

AI, LLMs & Agents

• Build production applications using commercial and open-source foundation models.
• Design RAG systems, agentic workflows, tool/function calling, structured outputs, memory, human-in-the-loop workflows, and multi-agent systems where appropriate.
• Work with frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, or equivalent tools.
• Build retrieval systems using embeddings, vector search, BM25, hybrid retrieval, reranking, metadata filtering, and knowledge graphs.
• Design prompt and context engineering strategies for complex workflows.
• Evaluate model choices based on accuracy, latency, reliability, security, and cost.
• Build automated evaluations and regression tests for AI behavior.
• Fine-tune or adapt models when prompting and retrieval are insufficient.

Backend, Frontend & Data

• Build production backend systems primarily in Python using FastAPI, Flask, Django, or similar frameworks.
• Design APIs, asynchronous workflows, background jobs, queues, caching layers, and event-driven systems.
• Work with PostgreSQL, SQL Server, MongoDB, Redis, Snowflake, and other production data stores.
• Build modern applications using React, Next.js, TypeScript, JavaScript, or equivalent frameworks.
• Create interfaces for copilots, conversational AI, workflow automation, analytics, review queues, and operational applications.
• Implement streaming responses, real-time updates, authentication, permissions, and API integrations.
• Build ingestion and transformation pipelines for structured and unstructured enterprise data.
• Work with documents, databases, APIs, event streams, images, logs, and operational datasets.
• Maintain provenance, permissions, metadata, and traceability across enterprise information.

ML & Computer Vision

• Use classical ML or deep learning when it is better suited to the problem than an LLM.
• Build systems involving classification, forecasting, anomaly detection, ranking, recommendations, optimization, or prediction.
• Build computer-vision applications involving detection, classification, segmentation, OCR, tracking, or image/video analysis.
• Work with PyTorch, TensorFlow, Hugging Face, OpenCV, or equivalent tools.
• Understand model development, evaluation, inference, and productionization.

Deploy & Operate What You Build

• Deploy applications across AWS, Azure, GCP, on-premises, hybrid, or edge environments.
• Containerize and operate applications using Docker and Kubernetes.
• Build CI/CD pipelines, automated testing, monitoring, and observability.
• Own reliability, latency, availability, security, evaluation, cost, and scalability.
• Debug failures across application code, AI models, data, infrastructure, and integrations.
• Build retries, fallbacks, rollback mechanisms, and human intervention into critical systems.

Integrate With Enterprise Systems

• Connect AI applications to enterprise platforms, databases, APIs, and operational systems.
• Integrate with systems such as ERP, MES, PLM, CRM, data warehouses, IoT platforms, document repositories, and legacy applications.
• Work within enterprise networking, security, and data-governance constraints.
• Implement authentication, authorization, secrets management, auditability, permissions, and data isolation.
• Build AI systems capable of safely operating on sensitive enterprise data.

What You Bring

• 5+ years of software engineering experience, with meaningful experience building AI/ML-powered products. Exceptional candidates with less experience but strong demonstrated ability will be considered.
• Strong hands-on programming ability in Python.
• Experience building complete production applications rather than isolated models, notebooks, or proofs of concept.
• Strong backend fundamentals including APIs, databases, distributed systems, and application architecture.
• Experience with React, Next.js, TypeScript, JavaScript, or equivalent frontend technologies.
• Strong understanding of LLMs, RAG, agents, tool calling, embeddings, vector search, prompt/context engineering, AI evaluation, and ML fundamentals.
• Experience with SQL and production databases.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, or equivalent production infrastructure.
• Understanding of production AI concerns including reliability, latency, security, observability, evaluation, and cost.
• Strong debugging skills across the full stack.
• Ability to independently turn loosely defined requirements into working software.
• Strong product judgment, high agency, technical curiosity, and a bias toward shipping.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent demonstrated experience.

Preferred / Top-Candidate Signals

• You've independently shipped an AI application from database → backend → AI → frontend → production.
• You've built production RAG or agentic systems, not just demos.
• You've used LangGraph, LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
• You understand when not to use an LLM or agent.
• You've worked with hybrid retrieval, reranking, vector search, or knowledge graphs.
• You've built with both commercial and open-source models.
• You've deployed ML or computer-vision systems into production.
• You have experience with React/Next.js + Python/FastAPI or a comparable modern stack.
• You have experience with Kubernetes, cloud infrastructure, and production observability.
• You have integrated software with complex enterprise or industrial systems.
• Experience in manufacturing, industrial, supply chain, logistics, engineering, energy, aerospace, automotive, or other physical-world environments is a strong plus.
• You've built meaningful side projects, open-source software, startups, or substantial systems outside your assigned responsibilities.
• You have a history of turning vague ideas into shipped products.

What Makes Someone Exceptional

The strongest engineers in this role combine three abilities:

AI Engineering — Choose the right model, retrieval approach, agent architecture, evaluation method, or ML technique.

Software Engineering — Build everything around the intelligence: frontend, backend, data, APIs, infrastructure, security, integrations, and deployment.

Product Judgment — Understand what actually needs to be built and rapidly turn it into something users can use.

A typical week might involve designing an agent workflow, writing FastAPI services, building a React interface, creating a retrieval pipeline, connecting enterprise data, deploying to Kubernetes, implementing evaluations, and debugging real-world behavior.

You should not need five different teams to turn an idea into a working product. You should be able to build.

Why This Role

• Build entire products, not isolated models or prototypes.
• Own the full stack: AI, backend, frontend, data, infrastructure, and deployment.
• Ship quickly: move from idea to working software in weeks.
• Work across modern AI: LLMs, agents, RAG, ML, computer vision, optimization, and enterprise data.
• Solve real-world problems: build software used in complex operational environments.
• See your work in production: own the path from first commit to real users.
• Compensation is flexible for exceptional candidates. 

Job Title: Lead Engineer – Generative AI

Role Overview

We are looking for a highly skilled Lead Engineer with strong expertise in Generative AI to lead the design and development of scalable, intelligent systems. The ideal candidate will bring deep technical knowledge, strong reasoning ability, and leadership skills to guide teams in building next-generation AI-driven solutions.

This role requires hands-on experience with modern AI frameworks, full-stack development, and cloud technologies, along with the ability to adapt quickly to evolving technologies.

Key Responsibilities

● Lead the architecture, design, and development of AI-powered applications and platforms.

● Drive the implementation of Generative AI solutions, including LLM-based systems and agentic workflows.

● Act as a subject matter expert (SME) for AI and Data & Analytics initiatives.

● Design and implement scalable and efficient LLM orchestration pipelines.

● Collaborate with cross-functional teams including product, data, and engineering.

● Mentor and guide development teams, ensuring best practices in coding, architecture, and AI integration.

● Deliver high-quality data products and analytics-ready solutions for stakeholders.

● Continuously evaluate and adopt emerging technologies in AI/ML and cloud ecosystems.

● Ensure system performance, scalability, and security across all deployments.

Required Skills & Qualifications

Experience

● 6+ years of experience in Python and React development

● 2+ years of hands-on experience in AI/ML / Generative AI

● 4+ years of experience in AWS and SQL (PostgreSQL preferred)

Technical Skills

● Strong expertise in:

○ LangChain & LangGraph

○ Large Language Models (LLMs)

○ LLM orchestration & agentic AI systems

○ Python (backend development & AI integration)

○ React & Node.js (full-stack development)

○ PostgreSQL and database design

○ AWS services (Lambda, EC2, S3, Bedrock, Sagemaker, etc.)

○ OCR technologies and document processing

● Solid understanding of:

○ AI system design patterns

○ Retrieval-Augmented Generation (RAG)

○ Vector databases and embeddings

Leadership & Core Competencies

● Strong problem-solving and reasoning skills

● Proven ability to lead and mentor teams

● Excellent communication and stakeholder management

● Ability to work in a fast-paced, innovation-driven environment

● Passion for continuous learning and adapting to new technologies

Nice to Have

● Experience in the Insurance industry

● Exposure to AI product development or AI venture studios

● Knowledge of compliance and regulatory considerations in AI systems

• Looking for a talented PHP Developer having experience in writing clean PHP code, having additional experience in Python/NodeJs and HTML, CSS, JS
• Someone very good at understanding requirements and developing services & features quickly.
• Good communication skills & team player, who engages with all stakeholders of the project to add clarity for all aspects of the ongoing software development project.

Your responsibilities will include:

• Having good attention to detail & requirements.
• Building software applications in PHP (mostly) and Python/Nodejs api-services.
• Creating web pages using HTML, CSS, JavaScript or VueJs.
• Developing applications using best design and coding practices.
• Writing, maintaining & upgrading middleware & back-end code and building efficient PHP and Python/Nodejs modules & services.
• Troubleshooting application and code issues.
• Integrating code with Databases & data storage solutions.
• Finalizing back-end features and testing web services.
• Updating and altering application features to enhance performance.

Key Requirements :

• Degree in Computer Science, Engineering or a related field.
• Must have Experience in PHP (Lumen & Laravel).
• Experience in either Python/Nodejs api development.
• Experience with Utils/Standards: REST, Swagger, JSON Schema.
• Experience in Web Page development - HTML, CSS, JS. Knowledge of VueJS will be a plus.
• Experience in creating scalable service-oriented & serverless applications.
• Experience with secure coding.
• Proficient BitBucket and Git.
• Should be experienced in following Agile methodologies. Tools - Jira & Confluence.
• Must have experience in Postgresql, MySql, MongoDB and Redis.
• AWS Services - S3, EC2, RDS, Elastic Cache.
• Good problem solving, decision making and prioritization skills.

CloudQA is a bootstrapped SaaS startup based out of Hyderabad. Our web application testing tools have helped companies ensure their customers get the best digital experiences.

You would be working on a world class product in a technically strong team competing with ex-google teams and silicon valley startups. CloudQA is used by some of the leading enterprises, govt institutions and rising startups across the world.We seek a strong technical background in both front-end and back-end development. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

Developer Requirements and Qualifications:

1. Good communication skills, should able to demonstrate website features
2. Must have good hands-on experience on HTML/CSS and Javascript,C#,SQL, selenium framework and Docker
3. Good to have experience with vue.js, AngularJS and code repositories such as GitLab
4. Good to have experience on AWS, GCP Cloud Service Providers and kubernetes
5. Understanding of testing frameworks

Duties and Responsibilities:

1. Collaborate with other developers and engineers to design, build, and maintain applications
2. To Develop and maintain highly reliable and scalable web services.
3. Understand product requirements, engage with team members and customers to define solutions and estimate the scope of work required.
4. Develop and Deliver solutions that can keep up with a rapidly evolving product in a timely fashion.
5. Improve the product features and performance in any way possible
6. Write effective APIs
7. Writing javascript/jqury programmatically to make it work with html components.
8. Working with git repositories and CICD

Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.

Seeking a Full Stack Engineer with high aptitude toward development.

Experience

5+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

5+ years of industry experience in python related frameworks such as Django, Fast API

3+ Industry experience in angularjs/react

Understand the principles of developing cloud native applications

Experience in administering (including setting up, managing, monitoring) application on heroku

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Implement marketplace using DJango and Angular

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices

Job Title: Software Engineer

Job Type: Full – Time

Location: Hyderabad (Client Base)

Reporting Manager: Service Delivery Manager

Min Salary: As per the Standard Market Rates

Job Summary

• Build interacting dynamic apps, dashboards and analytics.
• Consolidating relevant data from multiple sources.
• Visualizing data with engaging, state-of-the-art graphics.
• Exploring the associations of data. 

Roles and Responsibilities

• Identify automation opportunities in the operations workflow to minimize human effort and develop tools around it.

• Build performance metrics dashboards to view the volume, baseline and trending data.
• Build and maintain the knowledge base portal.
• Build automated tests and unit tests and follow standard development practices. Measure, diagnose and improve application performance
• Collaborate with software and network engineers in developing tools.

Skills Required

• Good communication skills.
• Must be well-versed in web development.
• Well-versed with material design, UI/UX Principles.
• Well-versed with either Angular / TypeScript, Polymer or React JS.
• Well-versed with either Go or Python.
• Collaborate with the team and clients to deliver high quality products.

Qualifications

• Bachelor's degree in Information Technology and Computer Science or any related course.
• Must have strong knowledge & experience in the following languages & system:

• OS: Basic knowledge of *nix (Linux, Unix, etc)
• Language/Script: Go and/or Python , Javascript and/or TypeScript, JS Libraries, HTML5/CSS
• Database: RDBMS (ie. MySQL, Postgresql, Oracle), NOSQL (ie. Mongodb)
• Experience in Cloud Computing (i.e. Google Cloud Platform) is a plus.
• knowledge of HTTP and (REST) API design
• Management/Leadership experience in Software Development is a plus.