AI Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. 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. You'll Work Across: - 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 What We're Looking For / Requirements: - 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

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