About the RoleA well-funded flexible-work / gig-economy platform - operating at the intersection of staffing technology and agentic AI - is looking for a
Founding Agentic Engineer to own the agent layer end-to-end. You'll work directly with the CTO as one of the earliest engineers shaping how production-grade AI agents are built, measured, and evolved at scale. This is an implementation-focused role: real agents, real consequences, real production systems.
The company has raised early-stage funding, operates a live marketplace connecting businesses with flexible-workforce professionals, and is now investing heavily in agentic infrastructure to automate complex integration workflows across the real economy. Nobody has shipped this kind of system at production scale yet - you'd be among the first.
What You'll Build- A context and self-learning system - a compounding knowledge base of undocumented systems so that onboarding each new integration client is dramatically faster than the last.
- Self-healing workflows - agents that detect failures in production, diagnose root causes, and recover autonomously without human intervention.
- A meta-harness - the runtime harness agents run on, plus the layer that lets the team build, evaluate, and ship new agents in days rather than months.
What You'll Do- Own the agent layer end-to-end: context systems, self-learning pipelines, evals, the harness, and the meta-harness.
- Define and establish the patterns by which every agent at the company gets built, measured, and continuously improved.
- Partner directly with founders as a true peer - experiment rapidly and drive outcomes independently.
- Help build the team: contribute to hiring and grow into leading the engineers who own agentic systems as the company scales.
What We're Looking ForRequired:- Proven track record shipping production-grade software in fast-moving environments (implementation engineering focus, not purely research).
- Strong TypeScript development experience with production-ready code and tooling (familiarity with Effect-TS a plus).
- Hands-on experience with PostgreSQL or another relational database in production systems.
- Experience with LLMs, agent-based architectures, or agent frameworks - including building and/or evaluating agents.
- Experience with evaluation-driven development (evals), self-learning systems, and measuring agent performance in production.
- Ability to own complex system components end-to-end and drive outcomes with minimal oversight.
- Willingness to contribute to team-building, including hiring and mentoring as the engineering org grows.
- Strong collaboration skills; comfortable working directly with founders and cross-functional stakeholders.
Nice to Have:- Prior experience at a high-velocity startup or a large-scale engineering organization (e.g., Amazon, GitHub, or similar).
- Familiarity with staffing, logistics, or marketplace platform tech stacks.
Compensation & Benefits- Salary: $150,000 - $300,000 USD annually
- Visa sponsorship is available for eligible candidates.
LocationThis is an
on-site role based in San Francisco, CA. Candidates must be able to work from the San Francisco office. Visa sponsorship is available.
