Base Career helps you apply smarter for this job.
Key skills for this 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.
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.
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.
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
New York City, USA
, USA
, USA
, USA
, CAN
, USA
, USA
, USA
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.
AI-powered talent agent matching candidates to startup roles.
Visit company websiteJobs and hiring trendsUSD 150000-300000 yearly / year
Full-time
Entry · 2+ years experience
Onsite
Apply faster on company sites with our extension.