Sr/Lead Genai Engineer

Epam Systems; Hyderabad; Hybrid; INR 1,400,000 - 2,100,000; Full time

Job summary

Epam Systems Hyderabad is seeking an experienced Python.AI Engineer to design and build production-grade Generative AI solutions focused on agentic workflows and multi-agent systems. You will work with LangChain, LangGraph, and other frameworks to deliver scalable AI-powered products.

The role requires hands-on experience with LLMs, RAG architectures, API development, and strong software engineering fundamentals.

Qualifications

• 5-12 years of software engineering experience.
• 3+ years building applications with Generative AI/LLMs.
• Strong Python proficiency for production-grade apps.
• Hands-on with two or more agentic AI frameworks (LangChain, LangGraph, Google ADK, CrewAI, AutoGen, etc.).
• Backend skills: REST/gRPC, asynchronous code, Docker, FastAPI or Flask.
• Experience with leading LLMs (OpenAI, Claude, Gemini, etc.).
• Experience with RAG using vector stores (Pinecone, Weaviate, ChromaDB, Qdrant).
• Expertise in prompt engineering, LLM orchestration, guardrails, ReAct, evaluation.
• Strong problem-solving, system design, and architectural decisions.
• Excellent cross-team communication.

Responsibilities

• Design and build scalable Generative AI apps and agentic solutions for real-world use cases.
• Orchestrate AI agents with frameworks like LangChain, LangGraph, and others.
• Develop backend services, APIs, microservices, and data pipelines for AI-driven products.
• Implement RAG, Agentic RAG, tool calling, planning and reflection loops, human-in-the-loop workflows.
• Engineer prompts, system instructions, and agent workflows for reliability and UX.
• Integrate LLMs with enterprise systems, APIs, vector DBs, and knowledge bases.
• Monitor and improve model and agent performance using observability tools and feedback.
• Collaborate with Product, Engineering, Data, and Design teams to deliver impact.
• Stay current with AI tech and document architectures and reusable patterns.

Skills

Python

Generative AI

LLMs

Agent Frameworks

REST APIs

Docker

FastAPI/Flask

Vector DBs

Prompt Engineering

System Design

Communication

Tools

LangChain

LangGraph

Google ADK

CrewAI

AutoGen

Microsoft Copilot Studio

Job description

Job Expectation

Role : Python.AI Engineer

Exp : 5 to 12Years

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

• 5 -12 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 interview at EPAM Hyderabad on 1st Nov: