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Full-Stack Software Engineer

Zyphra · San Francisco · On-site

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About Zyphra

The future of intelligence is open.

About 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.

What they're looking for

  • 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
More about this 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.

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

Proficiency in Python and a deep...

Read the full posting on Zyphra's site ↗

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