Sr/Lead Genai Engineer

Epam Systems; Jaipur; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Epam Systems is seeking an experienced Python AI engineer to design production-grade generative AI solutions with a focus on agentic workflows and multi-agent systems. You will leverage LangChain, LangGraph, and other frameworks to build scalable AI apps and integrate them with enterprise systems.

You will contribute to back-end services, data pipelines, and observability while collaborating with Product, Eng, Data, and Design teams, keeping pace with evolving AI tech and best practices.

Qualifications

• 4–8 years of software engineering experience.
• 3+ years building applications with Generative AI/LLMs.
• Strong Python skills and production-grade app development.
• Hands-on with two or more agentic AI frameworks.
• Backend dev skills: REST/gRPC, asynchronous, Docker, FastAPI/Flask.
• Knowledge of leading LLMs (OpenAI, Claude, Gemini, etc.).
• Experience with vector databases for RAG solutions.
• Expertise in prompt engineering and orchestration patterns.
• Excellent problem solving and cross-team collaboration.

Responsibilities

• Design and develop scalable Generative AI applications and agentic solutions.
• Build and orchestrate AI agents using listed frameworks.
• Develop backend services, APIs, and data pipelines for AI products.
• Implement RAG, agentic RAG, tools calling, planning and loops.
• Engineer prompts and agent workflows for reliability and UX.
• Integrate LLMs with enterprise systems and external APIs.
• Monitor model/agent performance with observability metrics.
• Collaborate with Product, Eng, Data, and Design teams.
• Stay updated with AI tech and share innovative ideas.
• Document architectures and solution patterns for knowledge sharing.

Skills

Python

Generative AI

LLMs

REST APIs

Docker

FastAPI

Flask

Async programming

System design

Communication

Tools

LangChain

LangGraph

Google ADK

CrewAI

AutoGen

Copilot Studio

LangSmith

Pinecone

Weaviate

ChromaDB

Qdrant

Job description

Job Expectation

Role : Python.AI Engineer

Exp : 5 to 9 Years

Location : Jaipur

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 optimise 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

• 4 -8 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.

Preferred Qualifications

• Experience with AI observability and evaluation tools such as LangSmith, Ragas, DeepEval, Arize, or Weights & Biases.
• Familiarity with model adaptation and fine‑tuning techniques (LoRA, PEFT, RLHF concepts).
• Experience with cloud AI platforms including Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Understanding of CI/CD, MLOps, and LLMOps practices.
• Exposure to graph databases, knowledge graphs, and structured data integration.
• Experience with event‑driven architectures and messaging platforms such as Kafka or RabbitMQ.

Current CTC :

Exp CTC :

Notice :

Available for F2F interview at Jaipur on 26th Sep :