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 OwnYou will build core infrastructure that enables:Agent Runtime & OrchestrationSystems for running and managing autonomous agentsMulti-agent coordination and lifecycle managementObservability, tracing, evaluation, and reliability toolingState management and memory systemsTooling & IntegrationsSecure execution of agent tools (e.g., GitHub, Slack, internal APIs)Tool abstraction layers and permission boundariesSandboxed and policy-controlled tool invocationExtensible plugin systemsAuthentication & AuthorizationFine-grained, role-based access control (RBAC) and policy systemsEnterprise-grade auth (OAuth, SAML, SCIM, API keys)Multi-tenant architectureSecure identity propagation between users, agents, and toolsSecurity & ComplianceAgent permission scoping and guardrailsData isolation and tenant separationAudit logging and traceabilitySOC2-minded system designSecure execution environmentsCloud InfrastructureDeploying and operating systems on GCP, AWS, and AzureKubernetes-native systems (GKE today)Infrastructure as CodeScalable, resilient backend servicesFoundation Model IntegrationDeep integration with foundation models from OpenAI, Anthropic, and GoogleModel routing and abstraction layersCost control and performance optimizationStructured tool calling and agent frameworksWhat We’re Looking ForStrong FitExperience building distributed backend systemsDeep understanding of authentication & authorization systemsExperience with Kubernetes and cloud-native infrastructureExperience integrating with LLM APIs or building agentic systemsStrong Python and/or TypeScript proficiencyComfort designing multi-tenant SaaS systemsBonusExperience building developer platformsExperience with security-critical systemsExperience in compliance-aware environments (SOC2, ISO, etc.)Experience with GitHub/Slack/Enterprise API integrationsBackground in infrastructure tooling or control planesWhat Makes This Role UniqueYou’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 HereBuilders 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.