At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Generative & Agentic AI Engineer

Role summary

You will design and ship GenAI capabilities and agentic AI workflowsgrounded in NLP/Transformersincluding RAG systems and advanced multi agent patterns. Youll build safe, observable, and cost aware LLM solutions on AWS/Azure, integrating with product backends and enterprise data.

Key responsibilities

• Build GenAI services with robust prompt/tool use, function calling, and workflow orchestration; implement caching, retries, and token/cost controls.
• Implement RAG pipelines (indexing, chunking, embeddings, rerankers) and evaluate retrieval/answer quality; progress to advanced agentic patterns (multi tool, multi step, multi agent).
• Apply NLP/Transformer techniques (fine tuning, adapters/LoRA, distillation) when justified by business and data constraints.
• Engineer production Python services/APIs; integrate vector stores (FAISS, Pinecone), LangChain/LlamaIndex, streaming, and guardrails.
• Operate solutions on AWS/Azure with proper observability, security, and governance hooks.

Must have skills

• GenAI foundations (LLMs, embeddings, prompting)
• Transformers (Hugging Face ecosystem, fine tuning strategies)
• NLP applied skills (text processing, evaluation metrics)
• RAG / advanced agentic AI design and implementation
• Python, AWS/Azure
• API development for model backed experiences

Qualifications & experience

• B.Tech/M.Tech/MS in CS/EE or equivalent.
• 4+ years in GenAI/NLP/AI Engineering

EY | Building a better working world 

 
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