3 days ago
Base Salary
$150k - $300k/yr
Responsibilities
- Build context and self-learning systems that accumulate knowledge and improve agent performance over time.
- Develop workflows that detect production failures, diagnose causes, and recover autonomously.
- Create and evolve agent harnesses and meta-harnesses for building and evaluating agents.
- Establish practices for agent tracing, evaluation, and iterative product improvement.
- Collaborate with founders, experiment with new approaches, and help hire and grow the team.
Requirements
- Two to nine years of professional software engineering experience, including experience 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 with accumulated-knowledge systems, 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.
Benefits
- Annual salary range of $150,000 to $300,000 USD.
- Visa sponsorship is available.
- On-site in San Francisco, California, five days per week.