Founding Engineer - Agentic

Job Description

### About the Role

This is a founding-level engineering role at a seed-stage flexible workforce marketplace, sitting directly alongside the CTO to own the entire agent layer end-to-end. You will set the patterns for how every agent in the platform gets built, measured, and improved, working on production systems with real-world consequences at scale. This is a rare opportunity to define the architecture of agentic software in a domain where no one has fully solved it yet.

### 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 that each new integration gets faster and better than the last.

* Design and ship self-healing workflows where agents detect, diagnose, and autonomously recover from production failures.

* Build and maintain the meta-harness that lets the team create, evaluate, and evolve new agents in days.

* Set engineering patterns that every future agent on the platform follows.

* Help hire and grow the agentic engineering team over time.

* Work as a peer to the founding team and experiment relentlessly.

### What We're Looking For

* 2 to 9 years of professional software engineering experience, with a hands-on individual contributor focus.

* Completed or in-progress engineering, computer science, or quantitative degree from a strong technical university.

* Prior experience at an early-stage, venture-backed startup, whether as a founder or an early engineer. A background exclusively in large enterprises or big tech does not fit this role.

* Proven experience building agentic software within the past year. This field moves fast and recent hands-on work is essential.

* Experience building context or self-learning systems that improve agent performance through accumulated knowledge.

* Experience building autonomous failure detection, diagnosis, or self-healing production workflows.

* Deep understanding of agent tracing, evals, and eval-driven iteration.

* Comfortable building reusable agent harnesses or meta-harnesses for rapidly creating and evolving agents.

* Strong implementation focus: you ship working systems in production, not research prototypes.

* Proficiency with TypeScript and PostgreSQL; familiarity with LLMs and agent frameworks is expected.

### Compensation \& Benefits

Salary range: **$150,000 to $300,000 USD annually.** Visa sponsorship is available where an O-1 visa is a realistic path.

### Location

On-site five days a week in **San Francisco, CA.** Candidates currently based elsewhere in the US are welcome with a concrete, dated relocation plan to San Francisco.