Design and build secure AI infrastructure for production AI agents, develop control planes, APIs, and tooling, and collaborate with researchers to transition prototypes into production.
- Design and build secure AI infrastructure for production AI agents
- Develop Agent Control Plane capabilities that manage, monitor, and secure agent execution
- Build embedded controls and security mechanisms directly into AI agents
- Develop reusable services, APIs, and developer tooling that support AI applications
- Build and maintain integrations with modern Agent SDKs and Model Context Protocol (MCP)
- Nice to have: Agent Control Planes
- Nice to have: embedded controls or policy enforcement within AI agents
- Nice to have: AI observability platforms
- Nice to have: security engineering
- Nice to have: infrastructure engineering
Founding EngineerClera-AI · New York, US.png?1602518798)
Staff AI EngineerAirTrunk · North Sydney, Australia
AI Harness EngineerTilda Research · Remote, India