About the RoleThis is a founding-level engineering role owning the agent layer end-to-end at a gig economy and flexible staffing platform. You'll work directly with the CTO to build production agentic systems that do real work with real consequences - setting the patterns every future agent at the company will follow. It's an early and high-ownership position at the frontier of applied AI engineering.
What You'll Do- Own the full agent layer: context engineering, self-learning systems, evals, the agent harness, and the meta-harness.
- Build a compounding knowledge base of undocumented systems so each new integration is better than the last.
- Develop self-healing workflows - agents that detect production failures, diagnose them, and recover autonomously.
- Build and maintain the harness agents run on, plus the layer that enables building, evaluating, and evolving new agents in days.
- Set the engineering patterns for how every agent across the platform gets built, measured, and improved.
- Help hire and eventually lead the team responsible for agentic systems.
- Work 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 built within the last year.
- Deep familiarity with harness-centric agent building: context engineering and eval-driven iteration.
- Strong understanding of agent tracing and evals.
- Implementation-focused engineer who ships working systems in production - not a researcher.
- Proficiency in TypeScript; experience with Effect-TS, PostgreSQL, and LLM/agent tooling is a strong plus.
- Background from high-calibre engineering environments is valued.
Compensation & Benefits- Salary: $150,000 - $300,000 USD annually
- Visa sponsorship: Available
LocationOn-site in
San Francisco, CA, United States.
