Runtime and platform engineering
AI Software Engineer
San Francisco or Remote Globally
Engineer the self-improving runtime that turns frontier AI into dependable autonomous systems.
Work on self-improving agentic systems that investigate, write code, test their own work, and return to the next problem more capable.
Open roles
We hire at every level. Each role includes practical tasks ranging from focused investigations to open design problems.
Runtime and platform engineering
San Francisco or Remote Globally
Engineer the self-improving runtime that turns frontier AI into dependable autonomous systems.
Quality engineering and evaluation
San Francisco or Remote Globally
Define how self-improving AI proves it is correct, dependable, and ready for the real world.
CI, release, and supply chain
San Francisco or Remote Globally
Build the delivery foundation that lets autonomous systems evolve safely at production speed.
Discovery, delivery, and evaluation
San Francisco or Remote Globally
Turn ambitious operational problems into adaptive agent systems that deliver measurable results.
How it works
There is no generic take-home quiz. Choose a real problem, improve it, and show us how you think.
Use one of our examples as a starting point, adapt its scope, or propose a focused challenge of your own.
Work in a branch of the ZeneraNeo repository and approach the change as a real contribution.
Explain the problem, your improvement, the evidence, and the scope you deliberately left out.
We read the pull request before the call, then talk through your choices, evidence, trade-offs, and what you would do next.
What matters here
We care about what you verified, which trade-offs you made, and whether another engineer can reproduce your result. A narrow change done well beats a large change done thinly.
Back claims with tests, output, timings, or files.
Define a realistic scope and say what you left out.
Write for a reviewer who was not there.