Genai Sr-Engineer/Lead

Epam Systems; Gurugram District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Epam Systems in Gurugram is seeking a Senior/Lead Generative AI Engineer to design, build, and optimize end-to-end generative AI solutions. You will integrate with vector databases, develop RAG pipelines, and create agentic workflows to deliver real-world business impact.

The role requires hands-on expertise across LLMs, NLP, and related frameworks, with experience in prompt engineering, model fine-tuning, and cloud/MLOps pipelines. Trusted cross-functional collaboration is essential for success.

Qualifications

• 5-10 years of experience in AI/ML with focus on GenAI/NLP
• Strong Python skills and GenAI libraries such as LangChain/Transformers
• Hands-on experience with RAG-based apps and vector databases
• Familiar with agentic frameworks like LangGraph/AutoGen/CrewAI
• Experience with prompt engineering, model fine-tuning, and evaluation
• Knowledge of NLP pipelines, embeddings, tokenization, and text analytics
• Proficiency with cloud platforms (AWS/Azure/GCP) and MLOps pipelines

Responsibilities

• Design and build Generative AI apps using LLMs
• Architect and implement RAG pipelines with vector stores
• Develop and orchestrate agentic workflows using LangGraph/AutoGen/CrewAI
• Integrate AI models with structured and unstructured data sources for NLP tasks
• Build scalable APIs and services around LLMs and RAG
• Fine-tune/prompt-engineer foundation models for domain objectives
• Collaborate with product, MLOps, and frontend teams
• Stay updated with advances in generative AI research

Skills

AI/ML experience

GenAI/LLMs/NLP

Python

LangChain

Transformers

LlamaIndex

RAG pipelines

Vector databases

LangGraph

AutoGen

CrewAI

Prompt engineering

MLOps

AWS

Azure

GCP

Tools

OpenAI

Mistral

LLaMA

Claude

Job description

Job Title: Senior/Lead Generative AI Engineer

Experience: 5-10 Years

Location: [ Gurugram]

Employment Type: Full-time

Role Summary

We are seeking a Senior Generative AI Engineer with strong hands-on experience in LLMs, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate will be responsible for building and optimizing end-to-end generative AI solutions, integrating with vector databases, and designing intelligent agentic systems to drive real-world business impact.

Key Responsibilities

Design, develop, and optimize Generative AI applications using LLMs (OpenAI, Mistral, LLaMA, Claude, etc.).

Architect and implement RAG pipelines combining LLMs with vector stores (e.g., FAISS, Pinecone, Weaviate, Chroma).

Develop and orchestrate agentic workflows using frameworks like LangGraph, AutoGen, or CrewAI.

Integrate AI models with structured and unstructured data sources for advanced NLP tasks such as summarization, semantic search, chatbots, and document intelligence.

Build scalable APIs and services around LLMs and RAG pipelines.

Fine-tune or prompt-engineer foundation models to meet domain-specific objectives.

Collaborate with cross-functional teams including product managers, MLOps, and frontend developers.

Stay up to date with advancements in generative AI research and tools.

Required Skills

58 years of experience in AI/ML with at least 2+ years in GenAI/LLMs/NLP.

Strong expertise in Python and GenAI libraries (e.g., LangChain, Transformers, LLamaIndex, Haystack).

Hands-on experience building RAG-based applications and working with vector databases.

Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, etc.).

Experience in prompt engineering, model fine-tuning, and evaluation.

Solid understanding of NLP pipelines, tokenization, embeddings, and text analytics.

Experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines.

Strong problem-solving skills and ability to drive projects independently.