Full-Stack Software Engineer
Zyphra - San Francisco, California, United States
Posted Mar 17, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Full-Stack Software Engineer San Francisco, California, United States 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
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