Overview
ABOUT THE ROLE
Full job description
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
- Build context and self-learning systems that accumulate knowledge and improve agent performance over time.
- Develop workflows that detect production failures, diagnose their causes, and recover autonomously.
- Create and evolve the agent harness and meta-harness for building and evaluating agents efficiently.
- Establish practices for agent tracing, evaluation, and iterative improvement across the product.
- Work closely with the founders, experiment with new approaches, and help hire and grow the team. WHAT WE'RE LOOKING FOR
- Two to nine years of professional software engineering experience, including experience building software at an early-stage company or as a startup founder.
- Recent experience building agentic software and shipping working systems to production.
- Strong experience with context engineering, eval-driven iteration, agent tracing, and production evaluation.
- Hands-on experience building systems that learn from accumulated knowledge, autonomous failure detection or recovery workflows, or reusable agent harnesses.
- Proficiency with TypeScript, Effect-TS, PostgreSQL, and LLM or agent technologies.
- 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.
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