AI Infrastructure Engineer

Most AI tools help one person perform a task faster, a session at a time. But real software work doesn’t happen in one session or one tool. A bug moves from a customer to a ticket to a Slack thread to a PR to a deploy, across people and systems that never see the whole picture. The most interesting context lives between those systems of record, and so does the real work.

For our agents to take on that work, something has to sit in between. The AI Infrastructure team builds it: where agents execute, what context they access, and how work moves between agents and people. Because the work runs through this infrastructure, it’s also what lets the Engineering World Model learn from every outcome and earn our agents the right to do more. It has to be fast, composable, and built to scale.

We’re hiring infrastructure engineers who like hard distributed-systems problems and want to own them end to end.

What you will do

• Build agentic infrastructure. Our agents don’t answer a question and disappear. They take on units of work that run for hours or days, change hands, and keep driving toward completion. You’ll build the runtime that creates continuity for that work: long-running sessions that survive failures, durable workflow state, lifecycle and cancellation, and workflows that track each piece of work across every stage and every party involved.