Overview
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 t
Full job description
Full 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.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered directly from the employer’s public Ashby Job Postings API. The complete public role content and compensation metadata were normalized into safe candidate-facing sections.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Clera (ashby) ↗Browse current Job and Scholarship listings from Clera (ashby) →
