Sr/Lead Genai Engineer

Epam Systems; Pune District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Epam Systems in Pune seeks a Senior/Lead Generative AI Engineer with hands-on experience in LLMs, NLP, and RAG, to design end-to-end generative AI solutions and agentic workflows.

Your work will include building and optimizing pipelines with vector databases, integrating with cloud platforms, and collaborating with product, MLOps, and frontend teams to deliver impactful AI applications.

Qualifications

• 5+ years in AI/ML with at least 2+ years in GenAI/NLP.
• Strong Python proficiency and GenAI libraries.
• Hands-on experience with RAG-based apps and vector databases.
• Familiarity with agentic frameworks and prompt engineering.

Responsibilities

• Design and optimize Generative AI apps using LLMs.
• Architect RAG pipelines with vector stores.
• Develop agentic workflows with LangGraph/AutoGen/CrewAI.
• Integrate models with data sources for NLP tasks.
• Build scalable APIs around LLMs and RAG pipelines.
• Fine-tune or prompt-engineer foundation models.
• Collaborate with product, MLOps, and frontend teams.
• Stay up to date with AI research and tools.

Skills

Python

LangChain

Transformers

RAG pipelines

Vector databases

LangGraph

AutoGen

CrewAI

Prompt engineering

Fine-tuning

NLP pipelines

Tools

FAISS

Pinecone

Weaviate

Chroma

LangGraph

AutoGen

CrewAI

Job description

Job Title: Senior/Lead Generative AI Engineer

Experience: 5 - 13 Years

Location: Pune

Employment Type: Full-time

Role Summary

We are seeking a Senior/Lead 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

• 4 + 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.

Current CTC :

Exp CTC :

Notice :

Available for F2F interview at EPAM (Pune ) on 16th Aug :