Sr/Lead Gen AI Engineer

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

Job summary

Epam Systems in Hyderabad is seeking a Senior/Lead Generative AI Engineer with hands-on GenAI, NLP, and RAG experience. You will design and optimize end-to-end AI solutions, integrate with vector databases, and build agentic systems to drive business impact.

The role emphasizes building scalable APIs, model fine-tuning, and collaboration with cross-functional teams in a hybrid work setup.

Qualifications

• 5-8 years of AI/ML experience with at least 2+ years in GenAI/NLP.
• Proficiency in Python and GenAI libraries.
• Hands-on experience building RAG apps and with vector databases.
• Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI).
• Experience with prompt engineering, model fine-tuning, and evaluation.

Responsibilities

• Design, develop and optimize Generative AI applications using LLMs.
• Architect and implement RAG pipelines with vector stores.
• Develop and orchestrate agentic workflows with modern frameworks.
• Integrate AI models with data sources for NLP tasks like summarization and semantic search.
• Build scalable APIs and services around LLMs and RAG pipelines.
• Fine-tune or prompt-engineer foundation models for domain objectives.
• Collaborate with product, MLOps and frontend teams.

Skills

Python

GenAI

NLP

LLMs

RAG

prompt engineering

MLOps

Cloud platforms

problem-solving

Tools

LangChain

Transformers

LlamaIndex

Haystack

FAISS

Pinecone

Weaviate

Chroma

LangGraph

AutoGen

CrewAI

Job description

Experience: 5 - 10 Years

Location: Hyderabad

Employment Type: Full-time

Work Mode - Hybrid

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

• 5-8 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.