About the Role

This 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

Location

On-site in San Francisco, CA, United States.