About the CompanyCompany Size: < !0 PeopleIndustry: Agentic AI, Automation, Enterprise SoftwareFounding Year: 2023Stage: Early-Stage StartupTech Stack: Python, TypeScript, Kubernetes and other leading tools This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems. As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on.
What You’ll Tackle:
Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems.
Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries.
Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless.
Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation.
Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.
What You'll Bring:
Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems.
Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries.
Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless.
Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation.
Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.
Why You’ll Want to Join:
Founding seat at a venture-backed, mission-driven AI company.
Huge technical ownership—architect, build, and scale the systems that everything else depends on.
Tight-knit, high-velocity team—no endless approvals, just smart people building quickly.
Real-world AI impact—enterprise deployments in industries that matter, not toy projects.
