We're building the control plane to support the use of AI agents in teams and companies.
As a Founding Engineer focused on the Agent Control Plane, you will design and build the systems that run, manage, secure, and govern AI agents operating in real-world production environments.
You'll work on distributed systems, auth, security boundaries, infrastructure orchestration, and deep integrations with modern foundation models. You'll help define how organizations safely deploy and control complex, multi-agent systems at scale.
If you're excited about building the infrastructure layer that makes agentic software safe, reliable, and enterprise-ready - we'd love to talk!
What You'll OwnYou will build core infrastructure that enables:
Agent Runtime & Orchestration- Systems for running and managing autonomous agents
- Multi-agent coordination and lifecycle management
- Observability, tracing, evaluation, and reliability tooling
- State management and memory systems
Tooling & Integrations- Secure execution of agent tools (e.g., GitHub, Slack, internal APIs)
- Tool abstraction layers and permission boundaries
- Sandboxed and policy-controlled tool invocation
- Extensible plugin systems
Authentication & Authorization- Fine-grained, role-based access control (RBAC) and policy systems
- Enterprise-grade auth (OAuth, SAML, SCIM, API keys)
- Multi-tenant architecture
- Secure identity propagation between users, agents, and tools
Security & Compliance- Agent permission scoping and guardrails
- Data isolation and tenant separation
- Audit logging and traceability
- SOC2-minded system design
- Secure execution environments
Cloud Infrastructure- Deploying and operating systems on GCP, AWS, and Azure
- Kubernetes-native systems (GKE today)
- Infrastructure as Code
- Scalable, resilient backend services
Foundation Model Integration- Deep integration with foundation models from OpenAI, Anthropic, and Google
- Model routing and abstraction layers
- Cost control and performance optimization
- Structured tool calling and agent frameworks
What We're Looking ForStrong Fit- Experience building distributed backend systems
- Deep understanding of authentication & authorization systems
- Experience with Kubernetes and cloud-native infrastructure
- Experience integrating with LLM APIs or building agentic systems
- Strong Python and/or TypeScript proficiency
- Comfort designing multi-tenant SaaS systems
Bonus- Experience building developer platforms
- Experience with security-critical systems
- Experience in compliance-aware environments (SOC2, ISO, etc.)
- Experience with GitHub/Slack/Enterprise API integrations
- Background in infrastructure tooling or control planes
What Makes This Role Unique- You'll define how companies control AI agents safely.
- You'll work at the intersection of LLMs, infrastructure, and security.
- You'll shape product and architecture from day one.
This is a high-ownership, high-autonomy role. You'll ship foundational systems that directly impact product direction and company trajectory.
Who Thrives Here- Builders who like greenfield systems.
- Engineers who care about correctness and safety.
- People who enjoy thinking about boundaries, permissions, and failure modes.
- Those comfortable operating with ambiguity and high leverage.
