Senior Software Engineer (Infra Agent Systems)

• You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective
• You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure
• 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

Benefits

• Competitive health insurance plans
• Pre-tax flexible spending accounts
• Dental and vision insurance
• Income protection & retirement
• Mental health support and services
• AD&D insurance
• 401(k) plan
• Life insurance
• STD & LTD insurance
• Monthly commuting stipend + pre-tax bene
• Flexible time off policy
• Monthly team lunches
• Team-driven celebrations and events

• Depth in at least one of the following:
• Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms
• AI agent systems, orchestration, tool use, evaluation, or grounding
• Search, retrieval, ranking, RAG, or semantic search systems
• Knowledge graphs or graph data modeling
• Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems
• Comfortable working across languages such as Go, TypeScript, Python, or Rust
• 5+ years of experience building production backend systems, distributed systems, or infrastructure platforms
• Strong systems design skills and experience owning significant systems from design through production
• Observability platforms such as Prometheus and Grafana
• Building evaluation frameworks or improving the quality and reliability of LLM-powered systems
• Event-driven systems and messaging platforms such as NATS or Kafka
• Graph databases
• GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers