Startups · AI

AI Engineer

Zyphra · San Francisco · On-site

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About Zyphra

The future of intelligence is open.

About the role

As a AI 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 that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans 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 ML-driven applications
  • Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks
  • 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 full ML stack, from model integration to serving infrastructure
  • Experience designing or working with secure and virtualized execution environments
More about this role

As a AI 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 that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration.

Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems

Building search and retrieval pipelines across large-scale structured and unstructured data

Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making

Engineering secure virtualized runtimes and backend services for agent execution

What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do

We value velocity and curiosity, especially in fast-moving and ambiguous environments

Proficiency in Python and a deep understanding of building and debugging complex ML-driven...

Read the full posting on Zyphra's site ↗

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