Why you should join us

We’re building a research lab with a real-time feedback loop.
We’re building AI systems that expand how quickly a small research team can understand, build, and experiment.
Our edge is the speed at which we can form ideas, build systems, run experiments, and learn from reality.
You’ll work directly with the founders and have real ownership over what we build and how we build it.
We’re a small team with over a decade of experience at places like Optiver, DRW, and Argo AI.

What you’ll do

Build LLM-powered systems and agent harnesses that help us research, engineer, and operate faster.
Design the infrastructure around them: tools, context, memory, evals, orchestration, observability, and execution environments.
Find new ways to turn frontier models into reliable systems that do useful work.
Work across the stack when needed. At our size, the problem matters more than the job boundary.
Own projects end-to-end: identify opportunities, prototype quickly, ship, measure what works, and iterate.

What we’re looking for

You have unusually high initiative: you notice important problems, figure out what should exist, and make it happen without waiting to be told.
You’re technically sharp and learn extremely quickly.
You’ve built seriously with LLMs, agents, harnesses, or adjacent AI infrastructure.
You move quickly, reason from first principles, and enjoy problems where the right architecture has not been figured out yet.
You care more about what works in practice than following established patterns.
Curiosity, intensity, and technical judgment matter much more to us than credentials or years of experience.

First week: learn how we work, find something important that could be dramatically better, and start making it better.
By 15 days: take ownership of a meaningful technical problem end-to-end, including deciding what to build and how to measure whether it works.
By 30 days: we want you independently identifying what matters and driving projects that materially increase what the team can do.

You’ll have the autonomy and resources to do some of the best work of your life.

This is an on-site role based in San Francisco, CA.

We move quickly and care about how you think. We do not do LeetCode-style interviews.

Member of Technical Staff | Engineering

Job Description