Building the infrastructure layer that lets autonomous AI agents operate reliably at scale.
Software Engineer, Full Stack
We're a small, well-funded team that believes the next wave of software won't be built for humans to click through—it will be built for agents to act on. Our platform handles the gritty, unforgiving work of running thousands of long-lived AI agents: scheduling, sandboxing, state management, and secure tool execution across cloud environments. You'll shape the control plane that customers in defense and the Fortune 500 rely on to orchestrate agent fleets, touching everything from the billing and provisioning APIs to the real-time observability interfaces operators stare at all day. The problems here span low-latency backend logic, API design that has to feel obvious at enterprise scale, and frontend workflows where clarity directly determines trust.
What they're looking for
- 4–7 years building and shipping production web applications, with deep fluency in TypeScript across the stack
- Comfortable owning the full lifecycle of a feature—from database schema and API design through to the React components that surface it to users
- Experience integrating and iterating on billing, metering, or usage-based pricing systems (Stripe or equivalent)
- Hands-on familiarity with containerized workloads (Docker, Kubernetes) and at least one major cloud provider (GCP or Azure preferred)
- A bias toward clarity in code, communication, and UI—you think in terms of the operator who will debug your work at 2 a.m.