About this role
About the Role
Join an early-stage team building agentic software for real-world business systems. You will own the agent layer end to end, setting the patterns for how agents are built, evaluated, and improved in production.
What You'll Do
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Build context and self-learning systems that accumulate knowledge and improve agent performance over time.
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Develop workflows that detect production failures, diagnose their causes, and recover autonomously.
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Create and evolve the agent harness and meta-harness for building and evaluating agents efficiently.
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Establish practices for agent tracing, evaluation, and iterative improvement across the product.
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Work closely with the founders, experiment with new approaches, and help hire and grow the team.
What We're Looking For
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Two to nine years of professional software engineering experience, including experience building software at an early-stage company or as a startup founder.
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Recent experience building agentic software and shipping working systems to production.
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Strong experience with context engineering, eval-driven iteration, agent tracing, and production evaluation.
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Hands-on experience building systems that learn from accumulated knowledge, autonomous failure detection or recovery workflows, or reusable agent harnesses.
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Proficiency with TypeScript, Effect-TS, PostgreSQL, and LLM or agent technologies.
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A completed or in-progress degree in engineering, computer science, or a quantitative field from a strong technical university.
Compensation & Benefits
Annual salary range: $150,000 to $300,000 USD. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States, five days per week.