Founding Engineer — Agent Control Plane
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 Own
You 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 For
Strong 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.