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Retrieval Augmented Generation Rag Jobs in Berkeley, CA

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 ...

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Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches * Preference engines that learn and evolve from member interactions * Lightweight AI orchestration layers integrated ...

Senior Staff AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... retrieval-augmented generation (RAG), and advanced text generation techniques. • Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Senior Staff AI Engineer

San Francisco, CA

$123K - $169K/yr

Deep understanding of Large Language Model (LLM) architectures, prompt engineering, retrieval-augmented generation (RAG), and advanced text generation techniques. * Proven experience implementing ...

... retrieval-augmented generation (RAG), including real-world implementation and operational use. • Experience building APIs and data pipelines with a strong foundation in system design, testing, CI ...

Senior Data Architect

San Francisco, CA

$79.25 - $106/hr

Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI. * Standardization: Establish scalable data management frameworks and a ...

Lead Data Engineer

Fremont, CA · On-site

$141K - $307K/yr

Build AI-ready data assets for machine learning and generative AI applications, including vector search, Retrieval-Augmented Generation (RAG), graph-based use cases, and semantic data models.

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...

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Retrieval Augmented Generation Rag information

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How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for retrieval augmented generation rag in Berkeley, CA is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $25.91 per hour, depending on experience, location, and employer.
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Gen AI Lead - RAG Specialist

Symhas

Pleasanton, CA • On-site

Other

Posted 8 days ago

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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