Python GenAI Engineer

Epam Systems; Gurugram District; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Epam Systems in Gurgaon is seeking a Senior Python GenAI Engineer to design, develop and deploy GenAI applications using Python for production environments.

You will leverage LangChain and LangGraph to build agentic workflows, design and optimize RAG pipelines, and integrate LLMs with vector databases.

This role requires 5+ years of hands-on experience, and offers the chance to deliver scalable, production-ready AI solutions in a dynamic, collaborative setting.

Qualifications

• 5+ years of hands-on Python development experience.
• Strong GenAI/LLM experience with LangChain and LangGraph.
• Experience building RAG pipelines and vector databases.
• Familiar with OpenAI/Azure OpenAI/Claude/Gemini and FastAPI/Flask.
• Knowledge of AI Agents / Multi-Agent architectures.

Responsibilities

• Develop and deploy GenAI applications using Python.
• Build agentic workflows with LangChain and LangGraph.
• Design and optimize RAG pipelines.
• Integrate LLMs with vector databases.
• Deliver scalable, production-ready AI solutions.

Skills

Python

Generative AI

LangChain

LangGraph

RAG

OpenAI/Azure OpenAI/Claude/Gemini

FastAPI/Flask

AI Agents

Tools

FAISS

Chroma

Pinecone

Weaviate

Docker

Kubernetes

CI/CD

Job description

JD- Python GenAI Engineer

Minimum 5 Years Experience Required

Required Skills & Qualifications

• Strong Python development experience
• Hands-on experience with Generative AI / LLMs
• Mandatory: LangChain and LangGraph
• Experience building RAG applications
• Experience with OpenAI, Azure OpenAI, Claude, or Gemini
• FastAPI/Flask development experience
• Knowledge of vector databases (FAISS, Chroma, Pinecone, Weaviate)
• Understanding of AI Agents / Multi-Agent architectures

Nice to Have

• CrewAI, AutoGen, PydanticAI, Semantic Kernel
• AWS, Azure, or GCP
• Docker, Kubernetes, CI/CD

Responsibilities

• Develop and deploy GenAI applications using Python
• Build agentic workflows using LangChain and LangGraph
• Design and optimize RAG pipelines
• Integrate LLMs and vector databases
• Deliver scalable, production-ready AI solutions

Experience: 5+ Years Role: Senior Python GenAI Engineer Location: Gurgaon