Gen AI Lead - RAG Specialist

Job Description

Job Description

Gen AI Lead – RAG (Retrieval-Augmented Generation) Specialist

We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our AI team in Pleasanton, CA. You will own the architecture and delivery of enterprise-scale RAG systems that power intelligent search, Q&A, and knowledge management products.

Key Responsibilities

• Design, build, and optimize end-to-end RAG pipelines for enterprise use cases
• Lead vector store strategy, embedding model selection, and retrieval optimization
• Implement advanced RAG patterns: hybrid search, re-ranking, contextual compression, and agentic RAG
• Evaluate and improve answer quality, hallucination reduction, and retrieval precision
• Guide a team of engineers in building scalable, production-grade knowledge systems
• Partner with data engineering to ensure high-quality document ingestion pipelines

Requirements

• 10+ years of overall AI/ML or software engineering experience
• 3+ years building and deploying RAG systems in production
• Expertise with vector databases (Pinecone, Weaviate, pgvector, Qdrant, etc.)
• Strong experience with embedding models, chunking strategies, and retrieval optimization
• Proficiency in Python, LLM APIs, and document processing pipelines
• US Green Card or Citizenship required
• Must be willing to work onsite in Pleasanton, CA