Staff Engineer, AI Productivity
Core
Building infrastructure, tooling, and documentation to make AI coding agents more effective across the engineering codebase.
Role type
Staff AI Productivity Engineer
Builds
Cloud-based agentic development environments, MCP server integrations, and internal tooling for AI-assisted development.
Domain
Developer Experience / AI Engineering / Platform Engineering
Deliverable
infrastructure
Required skills
Strong software engineering fundamentals, hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin), building developer tools or infrastructure, working across the stack (CI/CD, cloud infrastructure, application code), system design
Preferred skills
Experience building MCP servers, background in developer productivity or platform engineering, TypeScript/JavaScript monorepos, Go, GraphQL
Technologies
MCP servers, CircleCI, Slack, Datadog, Github, TypeScript, JavaScript, Go, GraphQL
Responsibilities
Own the agentic development environment setup, build MCP server integrations for internal systems, maintain repo-wide agent documentation and context, enable non-engineers to make visual updates, act as a PM for internal AI agents
Seniority
Staff, hands-on IC with leadership scope