Sr/Lead Genai Engineer

Epam Systems; Chennai District; Hybrid; INR 3,200,000 - 5,600,000; Full time

Job summary

Epam Systems in Chennai is seeking a Python GenAI Sr/Lead Engineer to design and implement production-grade generative AI solutions with a focus on agentic workflows and enterprise AI applications.

The role requires hands-on experience with LLMs, RAG architectures, and multiple agent frameworks, along with strong backend skills and collaboration across teams.

Qualifications

• Must have strong problem-solving and ability to design scalable AI solutions.
• Excellent communication across global teams and stakeholders.
• Experience with backend APIs, microservices, and modern frameworks.

Responsibilities

• Design, architect, and develop generative AI applications and agentic solutions for real-world use cases.
• Build and orchestrate AI agents using multiple frameworks and tools.
• Develop and maintain backend services, APIs, and data pipelines for AI-driven products.

Skills

Strong problem-solving

Excellent communication

Team collaboration

Tools

LangChain

LangGraph

Google ADK

CrewAI

AutoGen

Microsoft Copilot Studio

REST APIs

Docker

FastAPI/Flask

OpenAI GPT

Anthropic Claude

Google Gemini

Pinecone

Weaviate

ChromaDB

Qdrant

Job description

Role : Python GenAI Sr/Lead Engineer.

Exp : 4 to 12 Years

Location : Chennai

Role Overview

We are seeking an experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows, multi-agent systems, and enterprise AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs, RAG architectures, and AI agent frameworks.

Key Responsibilities

• Design, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use cases.
• Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies.
• Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products.
• Implement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflows.
• Engineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experience.
• Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories.
• Monitor, evaluate, and continuously improve model and agent performance using observability tools, metrics, and user feedback.
• Collaborate closely with Product, Engineering, Data, and Design teams to deliver impactful AI solutions.
• Stay current with emerging AI technologies, frameworks, and best practices, contributing innovative ideas to the team.
• Document architectures, design decisions, and reusable solution patterns while supporting knowledge sharing across teams.

Required Qualifications

Must Have

• 712 years of overall software engineering experience.
• 3+ years of hands-on experience building applications using Generative AI and LLM technologies.
• Strong proficiency in Python and experience developing production-ready applications.
• Hands-on experience with at least two agentic AI frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility.
• Strong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or Flask.
• Solid understanding of leading LLMs including OpenAI GPT models, Anthropic Claude, Google Gemini, and open-source alternatives.
• Practical experience building RAG solutions using vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant.
• Expertise in prompt engineering, LLM orchestration, structured outputs, guardrails, ReAct patterns, and evaluation techniques.
• Strong problem-solving, system design, and architectural decision-making skills.
• Excellent communication skills with the ability to collaborate effectively across global teams.

Current CTC :

Exp CTC :

Notice :

Available for In person discussion EPAM office - 29th Aug :