Gen AI Lead RAG Specialist

Gen AI Lead - RAG Specialist Symhas Pleasanton, CA Job Details 8 hours ago Qualifications AI models Software engineering Data retrieval time improvement Generative models AI platforms (beyond public GPTs) Databases Maintaining data pipelines Production systems Model deployment APIs Python Generative AI Full 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