Posted 12 days ago
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"**Senior GenAI Engineer** at EY focuses on developing enterprise-grade AI solutions. Key responsibilities include designing Retrieval-Augmented Generation (RAG) pipelines, building agentic AI workflows using LangChain and LangGraph, creating secure FastAPI-based services, and managing AI deployments on AWS cloud. Essential skills include advanced Python, prompt engineering, hands-on GenAI, and expertise in technologies like FastAPI, AWS (DynamoDB), and LLM providers. Ideal candidates should demonstrate strong problem-solving, system design, and solution-building skills, with a desire to create reliable AI solutions."
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
At EY, were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
GenAI Engineer - Senior
Role Overview
We are looking for a GenAI Engineer with strong Python foundations and hands-on experience in building enterprise-grade GenAI solutions. The role focuses on developing RAG pipelines, agentic AI systems, secure APIs, and scalable AI services using modern LLM platforms.
Key Responsibilities
- Design and implement Retrieval-Augmented Generation (RAG) pipelines
- Develop agentic AI workflows using LangChain and LangGraph
- Build and expose AI capabilities through FastAPI-based services
- Optimize prompts, embeddings, and retrieval for accuracy and performance
- Implement security mechanisms including JWT authentication
- Deploy and manage GenAI services on AWS cloud
- Integrate with vector databases and LLM providers
Mandatory Skills
- Strong Python Object-Oriented Programming expertise
- GenAI engineering experience with chunking, CoT, guardrails, and RAG pipelines
- Advanced Prompt Engineering for reasoning and reliability
- Hands-on Agentic AI experience using LangChain and LangGraph
- Strong FastAPI and API integration knowledge
- AWS cloud experience for development and deployment, including DynamoDB
- JWT authentication implementation in Python
- Working knowledge of vector databases and embedding optimization
- Familiarity with LLM providers such as AWS Bedrock and Azure OpenAI
Good to Have
- Basic understanding of LLMOps / MLOps practices
- Experience with logging, monitoring, and observability for AI systems
- Exposure to enterprise chatbots or analytics-driven GenAI solutions
What we are looking for
- Strong problem-solving and system design skills
- Ability to convert business problems into GenAI architectures
- Experience building production-ready AI solutions
- Ownership mindset and attention to quality and reliability
- Clear communication and documentation skills
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
