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Retrieval Augmented Generation Rag Jobs in Berkeley, CA

Zyphra

Full-Stack Software Engineer

San Francisco, CA · On-site

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (i.e., SOC 2, GDPR, etc.) * Familiarity with ...

Pintours

AI Engineer

Menlo Park, CA · On-site

$100 - $150/hr

Design and implement RAG (Retrieval-Augmented Generation) pipelines for contextual tour recommendations * Distill large models into efficient, deployable versions for production use * Quantize models ...

Apple

Senior Applied Researcher

San Francisco, CA · On-site

$107K - $147K/yr

Retrieval-augmented generation (RAG) pipelines and vector-based semantic search systems Representation learning and semantic embeddings for clustering, categorization, and content understanding Model ...

Zyphra Technologies Inc

AI Engineer

San Francisco, CA · On-site

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (e.g., SOC 2) * Familiarity with vector ...

Zyphra

AI Engineer

San Francisco, CA · On-site

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (e.g., SOC 2) * Familiarity with vector ...

ClifyX

Chief AI Architect

San Francisco, CA · On-site

Prompt engineering Retrieval-Augmented Generation (RAG) Tool augmentation / API integration Ensure solutions are: Scalable Secure Production-ready 3. AI Industrialization & Platforms Drive AI ...

ClifyX

Chief AI Architect

Alameda, CA · On-site

Prompt engineering Retrieval-Augmented Generation (RAG) Tool augmentation / API integration Ensure solutions are: Scalable Secure Production-ready 3. AI Industrialization & Platforms Drive AI ...

ClifyX

Chief AI Architect

Hayward, CA · On-site

Prompt engineering Retrieval-Augmented Generation (RAG) Tool augmentation / API integration Ensure solutions are: Scalable Secure Production-ready 3. AI Industrialization & Platforms Drive AI ...

ClifyX

Chief AI Architect

San Mateo, CA · On-site

Prompt engineering Retrieval-Augmented Generation (RAG) Tool augmentation / API integration Ensure solutions are: Scalable Secure Production-ready 3. AI Industrialization & Platforms Drive AI ...

Qdrant

Technical Success Manager

San Francisco, CA · Remote

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

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

As of Sep 5, 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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Full-Stack Software Engineer

Zyphra Technologies Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 hours ago

Key responsibilities

  • Design and implement agentic systems capable of interacting with browsers, operating systems, and enterprise filesystems.

  • Build search and retrieval pipelines for large-scale structured and unstructured data, and develop backend layers for RAG systems and information management.

  • Integrate language models, vision models, reinforcement learning, and scaffolding frameworks to enable autonomous, multi-step decision-making.

Job description

Zyphra is an artificial intelligence company based in San Francisco, California.
The Role:
As a Full-Stack Software Engineer, you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent (end-to-end) that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans agentic orchestration, frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration.
You'll Work Across:
  • Design and implementation of different agentic system designs capable of interacting with browsers, operating systems, enterprise filesystems, collaboration tools, etc.
  • Building search and retrieval pipelines across large-scale structured and unstructured data
  • Build the backend layer for RAG systems and other information context management systems required for agents to operate
  • Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making
  • What matters most is your drive to build production-grade software
  • We value velocity and curiosity, especially in fast-moving and ambiguous environments

What We're Looking For / Requirements:
  • Proficiency in Python and a deep understanding of building and debugging complex end-to-end applications
  • Experience working with SaaS environment and production workloads, web interfaces, databases, search engines, and queuing systems
  • Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM)
  • Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning
  • Ability to work across the whole stack from web interfaces to control plane and data infrastructure like queuing systems, databases, and search indexes
  • Experience designing or working with secure and virtualized execution environments
  • Excellent communication and collaboration skills across product, research, and engineering teams

Qualifications / Additional Skills:
  • Experience building or integrating retrieval-augmented generation (RAG) systems
  • Experience working with enterprise security and compliance frameworks (i.e., SOC 2, GDPR, etc.)
  • Familiarity with embeddings, vector databases and large-scale document indexing
  • Knowledge of web automation tools and headless browser environments (i.e., Puppeteer, Playwright)
  • Understanding of sandboxed or containerized compute environments with strict access controls
  • Comfort designing user-facing agentic workflows and reasoning systems that span multiple modalities (text, vision, actions)
  • Experience using and fine-tuning models for screen reading, OCR, or UI understanding
  • Background in HCI or interest in building intuitive agent interfaces that extend human capabilities
  • Machine Learning experience as a double bonus

Why Work at Zyphra:
  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
  • We strongly value new and crazy ideas and are very willing to bet big on new ideas
  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible
  • We all enjoy what we do and love discussing AI

Benefits and Perks:
  • Comprehensive medical, dental, vision, and FSA plans
  • Competitive compensation and 401(k) plan
  • Relocation and immigration support on a case-by-case basis
  • In-office snacks and meals provided
  • Unlimited PTO and company holidays
  • In-person team in San Francisco with a collaborative, high-energy environment

Apply