Cutshort Lightning

https://cutshort.io

Founded :

2023

Type :

Services

Size :

10-50

Stage :

Bootstrapped

About

N/A

Company social profiles

Jobs at Cutshort Lightning

Full Stack AI Engineer

The industry’s only Manufacturing Operating System

Agency job

via Cutshort Lightning by Ariba Khan

Hyderabad

5 - 10 yrs

Best in industry

Python

React.js

Generative AI (GenAI)

CI/CD

Amazon Web Services (AWS)

+1 more

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:

A person that can smoothly navigate extreme ambiguity
Full stack software builder
AI depth, must have built a production AI system
Excellent top-notch communication and stakeholder management
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.

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.

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:

A person that can smoothly navigate extreme ambiguity
Full stack software builder
AI depth, must have built a production AI system
Excellent top-notch communication and stakeholder management
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.

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.

Platform/ Infrastructure Engineer

A US-based cybersecurity startup

Agency job

via Cutshort Lightning by Ariba Khan

Remote

2 - 5 yrs

Best in industry

Amazon Web Services (AWS)

CI/CD

IaC

GitHub

About the company

The client is a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. They are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

Founded by ex-Microsoft, 21 years & ex-Uber, Microsoft, Plaid founders, they are a 16-person team working on hard problems at the intersection of security, AI, and open source.

Why this role is exciting

They are at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026, including the axios npm compromise and tj-actions. Their research is regularly cited by Bloomberg, TechCrunch, Hacker News, and Dark Reading. The US Cybersecurity and Infrastructure Security Agency (CISA) has published advisories citing the company.

Beyond their enterprise customers, the company has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, and Datadog.

This is a zero-to-one platform role. Today the AWS cost, service health visibility, and their release process are owned in pieces by engineers who are also shipping product. You will own all three end to end, as the first dedicated platform hire, with meaningful early-stage equity upside.

Their stack

GitHub.com for code repositories. GitHub Actions for CI/CD pipelines. AWS serverless for hosting our services: Lambda, API Gateway, DynamoDB, and S3. Backend services are written in Golang.

What you'll do

Own AWS cost. Build real visibility into where our cloud spend goes, then drive it down. Put guardrails and anomaly alerting in place so cost regressions get caught in days, not at the end of the month.
Build service health visibility. Define and instrument the metrics that tell us whether the platform is healthy. Build the dashboards, set the SLOs, and wire up alerting that pages on real problems and stays quiet otherwise.
Own the release process. Design and implement how code gets from a pull request to production, including staged rollouts, rollback, release approvals, and change management that satisfies our enterprise customers and our ISO 27001 obligations without slowing engineers down.
Improve stability. Run infrastructure as code, tighten our incident response and on-call practices, and drive postmortems to actual fixes.
Secure our own pipelines. We sell CI/CD and cloud security, so our own build and deploy path should be the best reference implementation we have. You will run it that way.

What we're looking for

2 to 5 years of experience with strong engineering fundamentals.
Demonstrated AWS cost reduction. We want to hear what the spend was, what you did, and what it became.
Hands-on depth with AWS serverless in production, not just in theory.
Experience implementing metrics, dashboards, and alerting for service health, and evidence that it changed how the team operated.
Experience building or significantly improving CI/CD and release processes, ideally with GitHub Actions.
Comfortable writing code. Golang or Python, plus infrastructure as code.
An AI-native mindset, with prior hands-on experience building with or operating AI agents.
Early-stage startup experience. You are extremely hands-on and can drive a problem end to end without a team behind you.
A security background is a plus but not required.

About the company

Founded by ex-Microsoft, 21 years & ex-Uber, Microsoft, Plaid founders, they are a 16-person team working on hard problems at the intersection of security, AI, and open source.

Why this role is exciting

Beyond their enterprise customers, the company has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, and Datadog.

Their stack

GitHub.com for code repositories. GitHub Actions for CI/CD pipelines. AWS serverless for hosting our services: Lambda, API Gateway, DynamoDB, and S3. Backend services are written in Golang.

What you'll do

Own AWS cost. Build real visibility into where our cloud spend goes, then drive it down. Put guardrails and anomaly alerting in place so cost regressions get caught in days, not at the end of the month.
Build service health visibility. Define and instrument the metrics that tell us whether the platform is healthy. Build the dashboards, set the SLOs, and wire up alerting that pages on real problems and stays quiet otherwise.
Own the release process. Design and implement how code gets from a pull request to production, including staged rollouts, rollback, release approvals, and change management that satisfies our enterprise customers and our ISO 27001 obligations without slowing engineers down.
Improve stability. Run infrastructure as code, tighten our incident response and on-call practices, and drive postmortems to actual fixes.
Secure our own pipelines. We sell CI/CD and cloud security, so our own build and deploy path should be the best reference implementation we have. You will run it that way.

What we're looking for

2 to 5 years of experience with strong engineering fundamentals.
Demonstrated AWS cost reduction. We want to hear what the spend was, what you did, and what it became.
Hands-on depth with AWS serverless in production, not just in theory.
Experience implementing metrics, dashboards, and alerting for service health, and evidence that it changed how the team operated.
Experience building or significantly improving CI/CD and release processes, ideally with GitHub Actions.
Comfortable writing code. Golang or Python, plus infrastructure as code.
An AI-native mindset, with prior hands-on experience building with or operating AI agents.
Early-stage startup experience. You are extremely hands-on and can drive a problem end to end without a team behind you.
A security background is a plus but not required.

Data Engineer

Building enterprise data, cloud, and AI solutions.

Agency job

via Cutshort Lightning by Nikita Sinha

Bengaluru (Bangalore)

3 - 10 yrs

Best in industry

Python

SQL

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

Windows Azure

+1 more

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
Design and optimize data models for AI and machine learning workloads.
Develop reliable data foundations for MLOps, governance, and data lineage.
Integrate data from multiple sources into modern data platforms.
Leverage Snowpark ML and Snowflake's native AI capabilities.
Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

3+ years of hands-on experience
Strong proficiency in SQL and Python.
Experience with AWS, Azure, or GCP.
Knowledge of cloud storage services such as S3, ADLS, or GCS.
Strong understanding of Dimensional Modeling and Data Vault.
Experience with Scala or Java is a plus.

Tech Stack

Data Warehouse: Snowflake
Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
Cloud: AWS, Azure, GCP
Storage: S3, ADLS, GCS
AI/ML: Snowpark ML, MLOps

Perks & Benefits

Public Speaking & Communication Program
Mentoring Program with Senior Support Leads
360° Progress Reviews
Weekly Learning Sessions & Guilds
Paid Certifications
Hackathons & Innovation Days
Recognition & Rewards Programs
Team Socials & Annual Offsites
Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

About the Role

Key Responsibilities

Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
Design and optimize data models for AI and machine learning workloads.
Develop reliable data foundations for MLOps, governance, and data lineage.
Integrate data from multiple sources into modern data platforms.
Leverage Snowpark ML and Snowflake's native AI capabilities.
Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

3+ years of hands-on experience
Strong proficiency in SQL and Python.
Experience with AWS, Azure, or GCP.
Knowledge of cloud storage services such as S3, ADLS, or GCS.
Strong understanding of Dimensional Modeling and Data Vault.
Experience with Scala or Java is a plus.

Tech Stack

Data Warehouse: Snowflake
Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
Cloud: AWS, Azure, GCP
Storage: S3, ADLS, GCS
AI/ML: Snowpark ML, MLOps

Perks & Benefits

Public Speaking & Communication Program
Mentoring Program with Senior Support Leads
360° Progress Reviews
Weekly Learning Sessions & Guilds
Paid Certifications
Hackathons & Innovation Days
Recognition & Rewards Programs
Team Socials & Annual Offsites
Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Associate Director – Growth, Sales & Delivery

An agentic AI workflow transformation startup.

Agency job

via Cutshort Lightning by Ariba Khan

Bengaluru (Bangalore)

3 - 7 yrs

Upto ₹40L / yr (Varies

)

Product Management

Revenue growth

Delivery Management

Artificial Intelligence (AI)

Generative AI (GenAI)

+1 more

About the Company

The client is an agentic AI workflow transformation startup. They help businesses transform traditional processes into SMART processes — Scalable, Minimal Cost, AI-led, Reliable, and Turbo Charged. By combining Artificial Intelligence with human-in-the-loop expertise, we make business processes highly accurate, faster, and 30–90% more cost-efficient.

Their solutions currently span three key areas:

Intelligent Document Processing: Accounting ledger matching, invoice processing, ID/KYC document processing, bank statements, and more.
Product & Content Operations: Content moderation, product cataloguing, image editing, and related workflows.
Interaction Management - Voice Bots, Auto Quality Assurance [voice & text], CRM, ticketing etc

About the Role

We are looking for an Associate Director – Growth, Sales & Delivery who can operate at the intersection of B2B growth, client engagement, solution delivery, and technology.

This role is ideal for someone who can identify and develop business opportunities, engage with clients to understand their requirements, work closely with engineering teams to shape solutions, and drive those solutions from ideation to delivery.

The role sits within the Intelligent Document Processing business, one of the key revenue-generating verticals, with a strong focus on use cases such as invoice processing, KYC, and other document-intensive business processes.

Key Responsibilities

1. B2B Growth & Business Development

Identify and develop new B2B business opportunities and client relationships.
Engage with prospective clients to understand their business challenges and identify opportunities for AI-led solutions.
Contribute to GTM initiatives, commercialisation strategies, and early-stage solution discovery.
Build and leverage relevant industry relationships and networks to generate opportunities.
Take ownership of opportunities from initial conversations through solution definition.

2. Solution Delivery & Ownership

Work closely with engineering and delivery teams to translate client requirements into practical solutions.
Own the solutioning and delivery journey from ideation to implementation.
Coordinate with internal teams to ensure solutions are delivered effectively and aligned with client expectations.
Understand business requirements and translate them into clear solution approaches.
Drive execution with a strong sense of ownership and delivery orientation.

3. Technology & Solutioning

Bring a good understanding of technology and modern AI/automation tools.
Work with technical teams to define solution blueprints and approaches.
Ability to understand and leverage technology platforms and tools to develop or prototype solutions.
Coding expertise is not mandatory, but familiarity with technology, cloud platforms, AI tools, and solution development will be an advantage.

What We're Looking For

3+ years of experience, with flexibility for exceptional candidates with ~1 year of experience who demonstrate strong relevant capabilities.
Strong exposure to B2B growth, business development, sales, client engagement, or solution consulting.
Experience working with clients and taking ownership of opportunities from discovery to execution.
Strong delivery and ownership mindset, with the ability to work effectively with engineering/technical teams.
Understanding of technology and ability to participate in solution design discussions.
Experience in oice processing, or related domains will be highly relevant.
Strong communication, problem-solving, and stakeholder management skills.
Candidates from IITs, IIITs, NITs, BITS, and other premier engineering institutions would be preferred, particularly where combined with relevant industry experience.

Good to Have

Experience with AI/automation-led solutioning or technology consulting.
Familiarity with cloud platforms and modern AI/technology tools.
Prior experience in a technical role, product/solution role, or engineering environment.
Experience working with organisations in the intelligent document processing / AI automation ecosystem.

Why choose us?

You will play a key role in building and scaling AI-led business solutions, working across clients, business development, solutioning, and engineering.

Our proprietary StepZero platform enables us to move rapidly from ideation to a working solution, typically within a few weeks, while our outcome-based approach focuses on delivering measurable business value rather than traditional headcount-based services.

This is an opportunity for someone who wants to combine business growth, client-facing ownership, solution delivery, and technology in a single role.

About the Company

Their solutions currently span three key areas:

Intelligent Document Processing: Accounting ledger matching, invoice processing, ID/KYC document processing, bank statements, and more.
Product & Content Operations: Content moderation, product cataloguing, image editing, and related workflows.
Interaction Management - Voice Bots, Auto Quality Assurance [voice & text], CRM, ticketing etc

About the Role

We are looking for an Associate Director – Growth, Sales & Delivery who can operate at the intersection of B2B growth, client engagement, solution delivery, and technology.

Key Responsibilities

1. B2B Growth & Business Development

Identify and develop new B2B business opportunities and client relationships.
Engage with prospective clients to understand their business challenges and identify opportunities for AI-led solutions.
Contribute to GTM initiatives, commercialisation strategies, and early-stage solution discovery.
Build and leverage relevant industry relationships and networks to generate opportunities.
Take ownership of opportunities from initial conversations through solution definition.

2. Solution Delivery & Ownership

Work closely with engineering and delivery teams to translate client requirements into practical solutions.
Own the solutioning and delivery journey from ideation to implementation.
Coordinate with internal teams to ensure solutions are delivered effectively and aligned with client expectations.
Understand business requirements and translate them into clear solution approaches.
Drive execution with a strong sense of ownership and delivery orientation.

3. Technology & Solutioning

Bring a good understanding of technology and modern AI/automation tools.
Work with technical teams to define solution blueprints and approaches.
Ability to understand and leverage technology platforms and tools to develop or prototype solutions.
Coding expertise is not mandatory, but familiarity with technology, cloud platforms, AI tools, and solution development will be an advantage.

What We're Looking For

3+ years of experience, with flexibility for exceptional candidates with ~1 year of experience who demonstrate strong relevant capabilities.
Strong exposure to B2B growth, business development, sales, client engagement, or solution consulting.
Experience working with clients and taking ownership of opportunities from discovery to execution.
Strong delivery and ownership mindset, with the ability to work effectively with engineering/technical teams.
Understanding of technology and ability to participate in solution design discussions.
Experience in oice processing, or related domains will be highly relevant.
Strong communication, problem-solving, and stakeholder management skills.
Candidates from IITs, IIITs, NITs, BITS, and other premier engineering institutions would be preferred, particularly where combined with relevant industry experience.

Good to Have

Experience with AI/automation-led solutioning or technology consulting.
Familiarity with cloud platforms and modern AI/technology tools.
Prior experience in a technical role, product/solution role, or engineering environment.
Experience working with organisations in the intelligent document processing / AI automation ecosystem.

Why choose us?

You will play a key role in building and scaling AI-led business solutions, working across clients, business development, solutioning, and engineering.

This is an opportunity for someone who wants to combine business growth, client-facing ownership, solution delivery, and technology in a single role.

Quantitative Developer- C++

A quantitative investment firm focused on the Indian markets

Agency job

via Cutshort Lightning by Ariba Khan

Mumbai, Worli

3 - 7 yrs

Upto ₹35L / yr (Varies

)

C++

Python

SQL

Amazon Web Services (AWS)

HFT

About the company

The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.

Their approach combines systematic investment methods, rigorous quantitative research and institutional-grade manager evaluation. We bring together research, technology and data to build scalable investment solutions.

Role Overview

We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.

You will work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams throughout the full model lifecycle—from research handover and production implementation to validation, deployment and ongoing support.

This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.

Key Responsibilities

Research Production

Translate mathematical models and Python research prototypes into robust, production-quality C++.
Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
Ensure production implementations remain mathematically and numerically consistent with the underlying research.
Establish clear and reproducible processes for transitioning models from research to production.

Engine Development and Validation

Design and develop analytical engines capable of processing historical, batch and streaming data.
Integrate calculation components with data pipelines, APIs, databases and downstream applications.
Validate production implementations against research prototypes, benchmark datasets and expected results.
Develop automated numerical, unit, integration, regression and performance tests.
Identify and resolve numerical stability, precision and edge-case issues.
Optimize calculation speed, memory usage, concurrency and scalability.
Profile and benchmark critical components to meet defined performance requirements.

Deployment and Delivery

Package analytical engines as libraries, services, APIs or containers.
Support deployment across internal infrastructure and client-controlled environments.
Configure engines for different datasets, workflows and institutional requirements.
Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
Implement appropriate logging, monitoring and error-handling capabilities.
Document interfaces, assumptions, configurations, dependencies and deployment requirements.

Collaboration and Ownership

Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
Participate in technical design discussions, code reviews and quantitative model reviews.
Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
Take end-to-end ownership of assigned components, from research handover through production deployment and support.
Contribute to engineering standards, reusable libraries and development best practices.

Required Qualifications

Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
Strong professional programming experience in modern C++, including object- oriented and generic programming.
Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
Experience translating mathematical or analytical prototypes into production software.
Strong understanding of algorithms, data structures, software architecture and design principles.
Experience building automated unit, integration and performance tests.
Familiarity with numerical methods, floating-point behaviour and numerical validation.
Experience profiling and optimizing compute-intensive or data-intensive applications.
Proficiency with Git and modern software-development practices.
Strong analytical, debugging and problem-solving skills.
•Ability to work effectively with both researchers and software engineers.

Preferred Qualifications

Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
Familiarity with time-series data and financial-market datasets.
Experience developing applications that process batch or real-time streaming data.
Exposure to concurrent, parallel or distributed computing.
Experience with containerization and deployment technologies such as Docker.
Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
Experience building analytical libraries, calculation services or APIs for institutional users.
Knowledge of Indian financial markets is advantageous

About the company

The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.

Role Overview

We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.

This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.

Key Responsibilities

Research Production

Translate mathematical models and Python research prototypes into robust, production-quality C++.
Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
Ensure production implementations remain mathematically and numerically consistent with the underlying research.
Establish clear and reproducible processes for transitioning models from research to production.

Engine Development and Validation

Design and develop analytical engines capable of processing historical, batch and streaming data.
Integrate calculation components with data pipelines, APIs, databases and downstream applications.
Validate production implementations against research prototypes, benchmark datasets and expected results.
Develop automated numerical, unit, integration, regression and performance tests.
Identify and resolve numerical stability, precision and edge-case issues.
Optimize calculation speed, memory usage, concurrency and scalability.
Profile and benchmark critical components to meet defined performance requirements.

Deployment and Delivery

Package analytical engines as libraries, services, APIs or containers.
Support deployment across internal infrastructure and client-controlled environments.
Configure engines for different datasets, workflows and institutional requirements.
Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
Implement appropriate logging, monitoring and error-handling capabilities.
Document interfaces, assumptions, configurations, dependencies and deployment requirements.

Collaboration and Ownership

Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
Participate in technical design discussions, code reviews and quantitative model reviews.
Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
Take end-to-end ownership of assigned components, from research handover through production deployment and support.
Contribute to engineering standards, reusable libraries and development best practices.

Required Qualifications

Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
Strong professional programming experience in modern C++, including object- oriented and generic programming.
Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
Experience translating mathematical or analytical prototypes into production software.
Strong understanding of algorithms, data structures, software architecture and design principles.
Experience building automated unit, integration and performance tests.
Familiarity with numerical methods, floating-point behaviour and numerical validation.
Experience profiling and optimizing compute-intensive or data-intensive applications.
Proficiency with Git and modern software-development practices.
Strong analytical, debugging and problem-solving skills.
•Ability to work effectively with both researchers and software engineers.

Preferred Qualifications

Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
Familiarity with time-series data and financial-market datasets.
Experience developing applications that process batch or real-time streaming data.
Exposure to concurrent, parallel or distributed computing.
Experience with containerization and deployment technologies such as Docker.
Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
Experience building analytical libraries, calculation services or APIs for institutional users.
Knowledge of Indian financial markets is advantageous

Lead Engineer

A design and development studio

Agency job

via Cutshort Lightning by Ariba Khan

Gurugram

8 - 15 yrs

Best in industry

Python

Generative AI (GenAI)

Large Language Models (LLM)

Voice Agent

Langchain

+1 more

About the Company

The client is revolutionising the way businesses operate through cutting-edge technological solutions. Their focus is on developing intelligent agents and agentic workflows that automate processes and eliminate the need for human effort wherever possible. By leveraging

advanced AI and machine learning, they create systems that enhance productivity and drive efficiency.

Their expertise extends to the fintech, healthcare and medical technology sectors, where they develop innovative solutions that improve patient outcomes and streamline medical operations.

From medical devices to healthcare platforms, their work sits at the intersection of technology and medicine, pushing the boundaries of what's possible. The team is dedicated to continuous learning and growth, ensuring the team members are always at the forefront of the tech landscape.

About the Role

This is a senior, hands-on engineering role at the heart of our product team. You will be one of the most technical people in the room — setting the architecture for our real-time voice AI

agents and building the hardest parts of it yourself. From the systems that power live conversations to the interfaces our clients rely on, you will own how the product is engineered end to end.

We are looking for a genuine lead full-stack engineer with the depth to make architecture decisions that hold up as we scale, and the appetite to still be in the code every day. You should be as comfortable designing the backend services behind a live voice agent as you are shaping a clean interface on top of them — and comfortable being the person others turn to when something is hard.

You will work directly with the founder and product leadership on a fast-moving product, with real influence over technical direction. This is a role for someone who wants ownership at the level of "how the whole thing is built," not just individual features — and who raises the bar for

everyone around them.

What You'll Own

Set the technical direction

Own the architecture of our core systems — the real-time voice agents, backend
services, data and APIs — making the decisions that keep the product fast, reliable and scalable as it grows.
Lead the hardest engineering problems and solve them personally.
Establish engineering standards — code quality, review practices, testing and technical patterns that the team builds to.
Drive technical strategy with the founder and product leadership — shaping the roadmap, flagging risk early, and turning product ambition into a sound technical plan.

Build the product end to end

Design, build and ship features across the stack — backend services, APIs and front-ends — owning them from idea to production.
Build the client-facing surfaces — dashboards, review tools and configuration interfaces that let our clients run and trust the product.
Design and evolve the data models and APIs that hold up as we scale across clients.

Make it reliable and fast

Own production quality — put the monitoring and alerting in place so issues are caught before clients feel them, and performance stays within target.
Care about performance — find and fix bottlenecks across the stack.
Build for correctness — put the testing and evaluation in place that keeps the product behaving predictably as it changes.

Lead through the team

Mentor and grow engineers — through code review, pairing, and setting a technical example others learn from.
Multiply the team's output — unblock others and lift the overall quality of the codebase.
Take features from ambiguity to done — turn a rough product goal into a shipped, working capability with minimal hand-holding, and help others do the same.

What We're Looking For

8+ years of professional software engineering experience, with significant depth across backend and a track record of owning systems, not just features.
Strong backend engineering, ideally in Python — building and scaling production services and APIs..
Proven architecture and system-design ability — you have designed systems that scaled, and can reason clearly about trade-offs.
Solid fundamentals across APIs, databases and cloud infrastructure.
Experience building real-time and/or AI-powered products — or clear, demonstrable ability to lead in this area.
A history of technical leadership — setting standards, mentoring engineers, and being trusted with the hardest problems — while remaining hands-on.
Excellent communication and a genuine ownership mindset — someone who can be handed an ambiguous, high-stakes problem and be trusted to see it through.

Nice to Have

Experience working with AI / large language models in production.
Experience with voice or other real-time products.
Exposure to healthcare, fintech, or other regulated / high-stakes domains.
Experience as an early or senior engineer in a startup, where you set direction and wore many hats.

About the Company

advanced AI and machine learning, they create systems that enhance productivity and drive efficiency.

Their expertise extends to the fintech, healthcare and medical technology sectors, where they develop innovative solutions that improve patient outcomes and streamline medical operations.

About the Role

This is a senior, hands-on engineering role at the heart of our product team. You will be one of the most technical people in the room — setting the architecture for our real-time voice AI

agents and building the hardest parts of it yourself. From the systems that power live conversations to the interfaces our clients rely on, you will own how the product is engineered end to end.

everyone around them.

What You'll Own

Set the technical direction

Own the architecture of our core systems — the real-time voice agents, backend
services, data and APIs — making the decisions that keep the product fast, reliable and scalable as it grows.
Lead the hardest engineering problems and solve them personally.
Establish engineering standards — code quality, review practices, testing and technical patterns that the team builds to.
Drive technical strategy with the founder and product leadership — shaping the roadmap, flagging risk early, and turning product ambition into a sound technical plan.

Build the product end to end

Design, build and ship features across the stack — backend services, APIs and front-ends — owning them from idea to production.
Build the client-facing surfaces — dashboards, review tools and configuration interfaces that let our clients run and trust the product.
Design and evolve the data models and APIs that hold up as we scale across clients.

Make it reliable and fast

Own production quality — put the monitoring and alerting in place so issues are caught before clients feel them, and performance stays within target.
Care about performance — find and fix bottlenecks across the stack.
Build for correctness — put the testing and evaluation in place that keeps the product behaving predictably as it changes.

Lead through the team

Mentor and grow engineers — through code review, pairing, and setting a technical example others learn from.
Multiply the team's output — unblock others and lift the overall quality of the codebase.
Take features from ambiguity to done — turn a rough product goal into a shipped, working capability with minimal hand-holding, and help others do the same.

What We're Looking For

8+ years of professional software engineering experience, with significant depth across backend and a track record of owning systems, not just features.
Strong backend engineering, ideally in Python — building and scaling production services and APIs..
Proven architecture and system-design ability — you have designed systems that scaled, and can reason clearly about trade-offs.
Solid fundamentals across APIs, databases and cloud infrastructure.
Experience building real-time and/or AI-powered products — or clear, demonstrable ability to lead in this area.
A history of technical leadership — setting standards, mentoring engineers, and being trusted with the hardest problems — while remaining hands-on.
Excellent communication and a genuine ownership mindset — someone who can be handed an ambiguous, high-stakes problem and be trusted to see it through.

Nice to Have

Experience working with AI / large language models in production.
Experience with voice or other real-time products.
Exposure to healthcare, fintech, or other regulated / high-stakes domains.
Experience as an early or senior engineer in a startup, where you set direction and wore many hats.

Customer Success Engineer

Platform for realistic incident-response simulation

Agency job

via Cutshort Lightning by Bisman Gill

Remote only

4yrs+

Upto ₹35L / yr (Varies

)

Communication Skills

Customer Success

This is a chance to get in early on something that's scaling fast, and to get years of experience compressed into months because of it. Instead of managing a slice of an established machine, you'll be sitting across from senior engineering leaders as a peer, designing the drills that decide whether a team holds together the day it actually matters, and watching people get visibly better at their jobs because of something you built. That kind of exposure and ownership doesn't exist at a big firm where you're twenty layers from the outcome. Here, what you do this month changes what the company looks like the next, and you'll build in a year the judgment it takes most people a decade to earn.

The role

We're hiring a Customer Success Engineer to be the backbone of our customer relationships. You'll work directly with customers, using our innovative platform to teach them to become elite, world class incident responders.

This is a role built around seeing people get better every day. You'll be part of a brand new, innovative method of teaching incident response skills, and you'll help people so that when an incident actually happens, they don't panic. They stay effective and make a meaningful impact, both for themselves and for their organisation. You'll also have a direct line into shaping and improving the product itself through what you see and learn in the field.

What you'll do

Work hands on with customers running simulations, coaching and teaching them so their teams get better at incident response. Being a great coach is non negotiable here, and we want people who genuinely enjoy helping others improve.
Take full ownership of customer outcomes. Proactively spot risk, gaps and opportunities rather than waiting to be asked, and drive them to resolution without needing to be chased.
Partner with product to design and refine drill simulations, working closely with customers to get feedback and make sure every simulation is genuinely impactful.
Work at startup pace. Partner cross functionally with sales, product and engineering, feed customer insight back into the roadmap, and help us grow rapidly as a company.
Be comfortable learning resiliency engineering, cognitive systems design and other best practices as we develop them, and bring that learning back into how we teach and build.

What you'll bring

4+ years of hands on incident response experience as an SRE, on call engineer or first responder. You've been paged at 3am, run an incident bridge and written the postmortem. This isn't theoretical.
Exceptional communication range. Equally comfortable presenting incident maturity findings to a senior exec and getting into the technical weeds with a mid level engineer. You adjust altitude naturally without dumbing anything down.
A genuine growth mindset. You're excited to learn resiliency engineering and cognitive systems design style thinking, and you want to get hands on building better drills and incidents, even if you haven't done it before.
Extreme ownership. You don't wait for instructions. You spot the problem, take the initiative and see it through.
Genuine excitement to work at a fast growing startup. Comfortable with ambiguity, shifting priorities and wearing multiple hats as we scale.

What would make you stand out

You enjoy teaching and sharing knowledge, whether that's pairing with someone, onboarding new colleagues or something entirely outside of work.
You can clearly communicate your own on call experience, including the pain that comes with it.
You care about impact. It's not just about doing the job well, it's about whether what you did actually moved the dial for the customer.

The role

What you'll do

Work hands on with customers running simulations, coaching and teaching them so their teams get better at incident response. Being a great coach is non negotiable here, and we want people who genuinely enjoy helping others improve.
Take full ownership of customer outcomes. Proactively spot risk, gaps and opportunities rather than waiting to be asked, and drive them to resolution without needing to be chased.
Partner with product to design and refine drill simulations, working closely with customers to get feedback and make sure every simulation is genuinely impactful.
Work at startup pace. Partner cross functionally with sales, product and engineering, feed customer insight back into the roadmap, and help us grow rapidly as a company.
Be comfortable learning resiliency engineering, cognitive systems design and other best practices as we develop them, and bring that learning back into how we teach and build.

What you'll bring

4+ years of hands on incident response experience as an SRE, on call engineer or first responder. You've been paged at 3am, run an incident bridge and written the postmortem. This isn't theoretical.
Exceptional communication range. Equally comfortable presenting incident maturity findings to a senior exec and getting into the technical weeds with a mid level engineer. You adjust altitude naturally without dumbing anything down.
A genuine growth mindset. You're excited to learn resiliency engineering and cognitive systems design style thinking, and you want to get hands on building better drills and incidents, even if you haven't done it before.
Extreme ownership. You don't wait for instructions. You spot the problem, take the initiative and see it through.
Genuine excitement to work at a fast growing startup. Comfortable with ambiguity, shifting priorities and wearing multiple hats as we scale.

What would make you stand out

You enjoy teaching and sharing knowledge, whether that's pairing with someone, onboarding new colleagues or something entirely outside of work.
You can clearly communicate your own on call experience, including the pain that comes with it.
You care about impact. It's not just about doing the job well, it's about whether what you did actually moved the dial for the customer.

Visual Designer

health tech quick commerce platform

Agency job

via Cutshort Lightning by Bisman Gill

Bengaluru (Bangalore)

3yrs+

Best in industry

Branding

Social Media Marketing (SMM)

Motion graphics

Packaging design

Location: Bangalore (Work from Office)

About the Role

We are looking for a Senior Visual Designer with 3–5 years of experience to lead the visual identity and creative execution of our brand across digital channels. This role is ideal for someone who has previously worked with a D2C (Direct-to-Consumer) brand, owning everything from brand identity and marketing campaigns to social media creatives and digital assets.

You will collaborate closely with Marketing, Product, Content, and Growth teams to build a consistent and engaging brand presence across customer touchpoints.

Key Responsibilities

Own the end-to-end visual branding for the company across digital and offline channels.
Design high-quality creatives for social media, digital marketing campaigns, performance ads, websites, landing pages, email campaigns, and other marketing initiatives.
Ensure brand consistency across all customer-facing communication and touchpoints.
Translate marketing objectives into compelling visual concepts and campaign assets.
Collaborate with Content, Growth, and Product teams to create engaging visual storytelling.
Design marketing collateral including presentations, brochures, banners, packaging, event creatives, and promotional materials.
Create illustrations, icons, and custom graphic assets where required.
Develop and maintain brand guidelines, templates, and reusable creative assets.
Stay updated on design trends, social media formats, and emerging creative best practices.

Must-Have Qualifications

3–5 years of experience as a Visual Designer or Graphic Designer.
Prior experience working with a D2C or consumer brand, owning end-to-end branding and creative execution.
Strong portfolio showcasing branding, social media campaigns, marketing creatives, and digital design work.
Expertise in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and Figma.
Strong understanding of typography, color theory, composition, layout, and visual storytelling.
Experience designing creatives for Instagram, Facebook, LinkedIn, YouTube, and other digital platforms.
Ability to work across multiple campaigns while maintaining brand consistency.
Excellent attention to detail and strong communication skills.

Good to Have

Experience creating creatives for performance marketing campaigns (Meta, Google, YouTube, etc.).
Motion graphics or animation skills using After Effects, Premiere Pro, or similar tools.
Experience with packaging design, merchandising, or print collateral.
Basic knowledge of video editing and short-form content creation.
Experience working in a fast-paced startup or high-growth consumer brand.

What We're Looking For

A creative thinker with a strong eye for aesthetics and branding.
Someone who can take ownership of the brand's visual language and evolve it over time.
Ability to balance creativity with business and marketing objectives.
Strong collaboration skills and the ability to work with cross-functional teams.
Passion for creating impactful visuals that enhance brand recognition and customer engagement.

Preferred Background

Candidates should have previously worked with D2C, consumer internet, e-commerce, beauty & personal care, fashion, lifestyle, food & beverage, health & wellness, or other consumer brands, with hands-on experience managing end-to-end branding and creating high-quality social media and marketing creatives.

Location: Bangalore (Work from Office)

About the Role

You will collaborate closely with Marketing, Product, Content, and Growth teams to build a consistent and engaging brand presence across customer touchpoints.

Key Responsibilities

Own the end-to-end visual branding for the company across digital and offline channels.
Design high-quality creatives for social media, digital marketing campaigns, performance ads, websites, landing pages, email campaigns, and other marketing initiatives.
Ensure brand consistency across all customer-facing communication and touchpoints.
Translate marketing objectives into compelling visual concepts and campaign assets.
Collaborate with Content, Growth, and Product teams to create engaging visual storytelling.
Design marketing collateral including presentations, brochures, banners, packaging, event creatives, and promotional materials.
Create illustrations, icons, and custom graphic assets where required.
Develop and maintain brand guidelines, templates, and reusable creative assets.
Stay updated on design trends, social media formats, and emerging creative best practices.

Must-Have Qualifications

3–5 years of experience as a Visual Designer or Graphic Designer.
Prior experience working with a D2C or consumer brand, owning end-to-end branding and creative execution.
Strong portfolio showcasing branding, social media campaigns, marketing creatives, and digital design work.
Expertise in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and Figma.
Strong understanding of typography, color theory, composition, layout, and visual storytelling.
Experience designing creatives for Instagram, Facebook, LinkedIn, YouTube, and other digital platforms.
Ability to work across multiple campaigns while maintaining brand consistency.
Excellent attention to detail and strong communication skills.

Good to Have

Experience creating creatives for performance marketing campaigns (Meta, Google, YouTube, etc.).
Motion graphics or animation skills using After Effects, Premiere Pro, or similar tools.
Experience with packaging design, merchandising, or print collateral.
Basic knowledge of video editing and short-form content creation.
Experience working in a fast-paced startup or high-growth consumer brand.

What We're Looking For

A creative thinker with a strong eye for aesthetics and branding.
Someone who can take ownership of the brand's visual language and evolve it over time.
Ability to balance creativity with business and marketing objectives.
Strong collaboration skills and the ability to work with cross-functional teams.
Passion for creating impactful visuals that enhance brand recognition and customer engagement.

Preferred Background

Senior UI/UX Designer

health tech quick commerce platform

Agency job

via Cutshort Lightning by Bisman Gill

Bengaluru (Bangalore)

3yrs+

Best in industry

User Interface (UI) Design

User Experience (UX) Design

Progressive Web Apps (PWA)

Senior UI/UX Designer

Location: Bangalore (Work from Office)

About the Role

We are looking for a Senior UI/UX Designer with 3–5 years of experience to own the design of consumer-facing digital experiences. You will work closely with Product, Engineering, and leadership teams to create intuitive, elegant, and scalable user experiences across mobile and web products.

This role is ideal for someone who enjoys taking ownership, thrives in a fast-paced product environment, and has previously designed applications used at scale.

Key Responsibilities

Own the end-to-end product design lifecycle—from user research and discovery to production-ready designs.
Collaborate with Product Managers, Engineers, and stakeholders to translate business requirements into intuitive user experiences.
Create user journeys, information architecture, wireframes, prototypes, and high-fidelity UI designs.
Design clean, modern, and engaging interfaces that deliver exceptional user experiences.
Conduct user research, usability testing, and incorporate feedback into design iterations.
Build and maintain scalable design systems and reusable UI components to ensure consistency across products.
Work closely with engineering teams during implementation to ensure design quality and pixel-perfect execution.
Continuously improve product experiences using user insights, analytics, and usability best practices.
Stay updated with emerging design trends, interaction patterns, and consumer product best practices.

Must-Have Qualifications

3–5 years of experience in UI/UX or Product Design.
Proven experience designing consumer-facing mobile applications with more than 100,000 downloads or a large active user base.
Strong portfolio showcasing end-to-end product design work from concept to launch.
Expertise in Figma, including wireframing, prototyping, design systems, and developer handoff.
Strong understanding of user-centered design, interaction design, visual design principles, typography, and layout.
Experience designing responsive interfaces across mobile and web platforms.
Ability to simplify complex user flows into intuitive, frictionless experiences.
Strong communication and collaboration skills with cross-functional teams.
High attention to detail and a strong sense of visual craftsmanship.

Good to Have

Experience working in a high-growth startup or consumer technology company.
Experience building or contributing to design systems.
Familiarity with usability testing and user research methodologies.
Basic understanding of front-end technologies and design implementation.
Experience working in agile product development environments.

What We're Looking For

A product thinker who puts users at the center of every design decision.
Someone who enjoys ownership and can independently drive features from discovery to delivery.
A designer who is comfortable working in a fast-moving environment with evolving priorities.
Strong problem-solving skills with the ability to balance user needs, business goals, and technical constraints.
Passion for building products that are simple, intuitive, and impactful.

Senior UI/UX Designer

Location: Bangalore (Work from Office)

About the Role

This role is ideal for someone who enjoys taking ownership, thrives in a fast-paced product environment, and has previously designed applications used at scale.

Key Responsibilities

Own the end-to-end product design lifecycle—from user research and discovery to production-ready designs.
Collaborate with Product Managers, Engineers, and stakeholders to translate business requirements into intuitive user experiences.
Create user journeys, information architecture, wireframes, prototypes, and high-fidelity UI designs.
Design clean, modern, and engaging interfaces that deliver exceptional user experiences.
Conduct user research, usability testing, and incorporate feedback into design iterations.
Build and maintain scalable design systems and reusable UI components to ensure consistency across products.
Work closely with engineering teams during implementation to ensure design quality and pixel-perfect execution.
Continuously improve product experiences using user insights, analytics, and usability best practices.
Stay updated with emerging design trends, interaction patterns, and consumer product best practices.

Must-Have Qualifications

3–5 years of experience in UI/UX or Product Design.
Proven experience designing consumer-facing mobile applications with more than 100,000 downloads or a large active user base.
Strong portfolio showcasing end-to-end product design work from concept to launch.
Expertise in Figma, including wireframing, prototyping, design systems, and developer handoff.
Strong understanding of user-centered design, interaction design, visual design principles, typography, and layout.
Experience designing responsive interfaces across mobile and web platforms.
Ability to simplify complex user flows into intuitive, frictionless experiences.
Strong communication and collaboration skills with cross-functional teams.
High attention to detail and a strong sense of visual craftsmanship.

Good to Have

Experience working in a high-growth startup or consumer technology company.
Experience building or contributing to design systems.
Familiarity with usability testing and user research methodologies.
Basic understanding of front-end technologies and design implementation.
Experience working in agile product development environments.

What We're Looking For

A product thinker who puts users at the center of every design decision.
Someone who enjoys ownership and can independently drive features from discovery to delivery.
A designer who is comfortable working in a fast-moving environment with evolving priorities.
Strong problem-solving skills with the ability to balance user needs, business goals, and technical constraints.
Passion for building products that are simple, intuitive, and impactful.

Senior Software Engineer, AI/ML

a FAANG company

Agency job

via Cutshort Lightning by Reshika Mendiratta

Hyderabad

5yrs+

Best in industry

Python

TensorFlow

JAX

Scikit-Learn

Machine Learning (ML)

+6 more

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

Responsibilities

Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

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