Posted 13 days ago
No clicks
**Senior Generative AI Engineer** at EY designs and deploys GenAI capabilities, focusing on AI agents and retrieval-augmented generation (RAG). Key responsibilities include: - Building robust, cost-controlled GenAI services with advanced prompt engineering and workflow orchestration. - Designing and implementing RAG pipelines, evaluating retrieval quality, and advancing to multi-tool, multi-step, and multi-agent patterns. - Applying NLP techniques, fine-tuning transformers, and engineering production Python services. - Operating solutions on AWS/Azure with robust observability and security. Must-haves: Proven expertise in GenAI, transformers, NLP, RAG, and agentic AI, along with Python, AWS/Azure, and API development skills. Requires 4+ years of relevant experience. This role offers a unique career opportunity to build GenAI solutions within EY's global, supportive culture.
- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
Full Job Description
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 and 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 and experience
- B.Tech/M.Tech/MS in CS/EE or equivalent.
- 4+ years in GenAI/NLP/AI Engineering
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
