About the RoleThis is a founding-level engineering role at a gig economy / flexible staffing platform, sitting at the intersection of production AI systems and real-world labor marketplace operations. You'll own the entire agent layer end-to-end, working directly with the CTO to define how agentic systems get built, measured, and scaled - work that has genuine, production-grade consequences.
What You'll Do- Design and own the agent layer holistically: context engineering, self-learning systems, evals, the agent harness, and the meta-harness used to build and evolve new agents.
- Build a compounding knowledge base of undocumented systems so that each new integration is better than the last.
- Develop self-healing workflows - agents that detect failures in production, diagnose root causes, and recover autonomously.
- Set the engineering patterns and standards by which every agent at the company gets built, measured, and improved.
- Help grow the agentic engineering team, with a path toward leading the people who own these systems.
- Operate as a peer to the founding team and experiment relentlessly.
What We're Looking For- 2-9 years of software engineering experience, with hands-on agentic software shipped within the last year.
- Deep familiarity with harness-centric agent development: context engineering and eval-driven iteration are core to how you work.
- Strong understanding of agent tracing and evaluation frameworks.
- Implementation-focused mindset - you ship working systems in production, not research prototypes.
- Proficiency in TypeScript; experience with Effect-TS, PostgreSQL, and LLM/agent tooling is a strong plus.
- Background from high-caliber engineering organizations (e.g. large tech, professional services, or developer tooling companies).
Compensation & BenefitsSalary range:
$150,000 - $300,000 USD annually. Visa sponsorship is available.
LocationOn-site in
San Francisco, CA, United States.
