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Entrylevel Retrieval Augmented Generation Jobs in California

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 ...

Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. * Ship robust, minimal-dependency code ...

Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...

Software Engineer - AI

Irvine, CA · On-site

$110 - $130/hr

Develop Retrieval Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge stores. * Implement prompt engineering, context engineering, memory management, and ...

Applied Scientist (ML)

Mountain View, CA · Hybrid

$190K - $275K/yr

Familiarity with retrieval-augmented generation, reasoning, LLM training and reinforcement learning techniques Compensation The cash compensation range for this role is $190,000 - $275,000. Final ...

Agent Engineer

San Francisco, CA · On-site

$180K - $500K/yr

Experience with prompting, evaluation, retrieval-augmented generation, tool use, or agent frameworks * Experience building systems for planning, reasoning, and multi-step execution * The ability to ...

The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ...

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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 2 days ago


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