Senior Technical Lead - Agentic AI RAG
US client via staffing partner · San Jose, CA
- Location
- San Jose, CA
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Agentic AI · RAG · LLM · LangChain · LangGraph · Oracle Database 26ai · SQL · PL/SQL · MCP (Model Context Protocol) · GenAI · LLMOps · RAGAS Framework · Vector Search · Multi-Agent Systems · Oracle ERP · Supply Chain · API Development · AI Agents
About the role
Senior Technical Lead Agentic AI RAG, San Jose - California - USA 10-13 Years About the Role - We are seeking a highly motivated Senior Technical Lead Dev to design develop and lead the delivery of next generation Agentic AI solutions for enterprise ERP and Supply Chain environments - This role combines hands-on engineering technical leadership and business process understanding to build intelligent AI agents RAG based applications MCP tools and AI powered business solutions leveraging Oracle Database 26ai and modern LLM technologies - The ideal candidate is passionate about AI innovation has strong development skills and can translate business requirements into scalable enterprise grade AI solutions Key Responsibilities - Design and build AI Agents Multiagent Systems and Agentic AI workflows for enterprise use cases - Develop Retrieval Augmented Generation RAG solutions using structured and unstructured enterprise data - Build and maintain MCP Model Context Protocol servers and tools to enable AI agents to securely interact with enterprise systems - Develop AI applications using frameworks such as LangChain LangGraph or equivalent - Leverage Oracle Database 26ai capabilities including Select AI Vector Search AI Profiles and in database AI features - Design develop and optimize SQL PLSQL APIs and data services supporting AI powered applications - Integrate AI solutions with Oracle ERP Supply Chain Finance Procurement Order Management Inventory and Manufacturing systems - Lead technical design reviews mentor developers establish coding standards and drive best practices - Partner with business stakeholders architects and functional teams to identify and deliver high value AI use cases - Support solution architecture proof of concepts and client facing demonstrations Mandatory Skills: GenAI, GenAI - LLMOps, RAGAS (Retrieval Augmented Generation Assessment) Framework
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