You’ll work across two areas
Infrastructure Agent Systems – Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack.
Core Agent Platform – Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve.
We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure.
This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation, solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure.
responsible for delivering the software but also for operating and supporting it in production.
Responsibilities
- Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
- Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
- Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions.
- Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs.
- Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
- Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops.
- Turn what agents learn in production into reliable, reviewed software and automation.