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Sr/Lead Gen AI Engineer

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Sr/Lead Gen AI Engineer

Epam Systems

Sr/Lead Gen AI Engineer

Skills

Google Cloud PlatformPythonData AnalysisMachine LearningAIAWSLead GenerationNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

21 August 2026

What they need


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.

Please share your details to Vikram_[email protected]

CTC :

Exp CTC:

Notice :

Available for F2F Interview Hyderabad office on 29th Aug (Y/N) :

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