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Temporary Retrieval Augmented Generation Jobs in California

Onsite -- Pleasanton, 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 ...

Implement Retrieval-Augmented Generation (RAG) architectures with Oracle Database. * Create and manage vector embeddings and vector indexes. * Integrate Oracle Database with LLMs and Generative AI ...

Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants. * Evaluate emerging AI technologies, frameworks, and infrastructure to ...

Senior Agentic AI Builder

San Jose, CA · On-site

$107K - $136K/yr

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Build and deploy RAG (Retrieval-Augmented Generation) pipelines * Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with ...

This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows . The ideal candidate will bring deep expertise ...

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

New

Software Engineer (Java + GenAI)

San Jose, CA · On-site

$60.75 - $83.25/hr

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow ...

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Temporary Retrieval Augmented Generation information

What is the difference between Temporary Retrieval Augmented Generation vs Data Scientist?

AspectTemporary Retrieval Augmented GenerationData Scientist
Required CredentialsTypically requires knowledge of AI, NLP, and some programming skillsRequires degrees in data science, statistics, or related fields, often with certifications in data analysis
Work EnvironmentOften project-based, working with AI models and large datasets in tech or research firmsUsually in corporate, research, or tech companies analyzing data to inform decisions
Industry UsageUsed in AI development, natural language processing, and machine learning projectsApplied across industries for data analysis, predictive modeling, and business insights

Temporary Retrieval Augmented Generation focuses on enhancing AI models with retrieval techniques, while Data Scientists analyze data to generate insights. Both roles require technical skills but serve different purposes within the tech and data ecosystem.

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The most popular types of Retrieval Augmented Generation jobs in California are:

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Cities in California with the most Temporary Retrieval Augmented Generation job openings:

Infographic showing various Temporary Retrieval Augmented Generation job openings in California as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

Gen AI Lead - RAG Specialist

Symhas

Pleasanton, CA • On-site

$90 - $120/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Employment Type: Contract · Rate: $90–120/hr (W2) · Work Mode: Onsite — Pleasanton, 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, 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