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About the Role
This 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 & Benefits
Salary range: $150,000 – $300,000 USD annually. Visa sponsorship is available.
Location
On-site in San Francisco, CA, United States.
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