AI Engineer
Core
Building production-grade AI agent tools, skills, and governance infrastructure (MCP runtime) that enable agents to securely take actions within enterprise systems.
Role type
Senior IC AI Engineer (Agent Tools & Infrastructure)
Builds
Agent harnesses, MCP servers, new services, toolkits, and evaluation systems for AI agents.
Domain
AI Agents, Enterprise Integration, Distributed Systems
Deliverable
production ML models
Required skills
Python, TypeScript, API design at scale, LLM application development, agent design, testing and evaluation, Go
Preferred skills
MCP ecosystem familiarity, Go
Responsibilities
Build dedicated agent harnesses and agents-as-tools; deliver end-to-end features for the Arcade Engine or new services; create new toolkits and abilities from vendor APIs; fix integration rough edges; maintain and improve the tool catalog; build next-gen evaluation and testing for abilities.
Seniority
Senior, hands-on IC
