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.