Founding Agentic Engineer

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 .