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
- 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.
Required Experience:
Staff IC
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 f...
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
- 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.
Required Experience:
Staff IC
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