Infrastructure Engineer, AI Tooling
Core
Build infrastructure to make AI coding agents legible, first-class users of the system by managing their identities, execution environments, and knowledge base context.
Role type
Senior Infrastructure Engineer (AI Tooling)
Builds
Agent harnesses, shared workflows, short-lived VMs, no-egress sandboxes, and a company-wide agent knowledge base.
Domain
AI infrastructure, agent orchestration, cloud computing
Deliverable
production ML models | infrastructure
Required skills
production infrastructure management, coding agent usage and verification, engineering workflow automation, LLM agent harness modification
Preferred skills
Bazel remote execution, remote caching, sandboxing, ephemeral compute for untrusted workloads
Technologies
VMs, sandboxes, monorepo, Slack, Bazel
Responsibilities
Design agent identities and access controls, build ephemeral execution environments, aggregate and structure context data for agent consumption, modify agent harnesses to correct LLM errors
Seniority
Senior, hands-on IC