Turn AI adoption into a recurring revenue line. Backed by Y Combinator.
About the role
You'll be the first engineering hire, working directly with the founder and owning large parts of the platform architecture. The system has two tightly connected halves: You've shipped something end to end. A side project, indie product, or work project where you personally took it from idea to production and real users: architecture, code, deployment, and operations
What they're looking for
- 5+ years of backend / platform engineering experience
- Daily user of agentic coding tools (Claude Code, Codex, Cursor, or similar), you build with them, understand how they call models and tools under the hood, and can reason about routing, configuration, and extending them
- Strong in at least one of: Python, TypeScript, or Rust , and comfortable across 3–5 programming languages overall
- Production experience with a web framework (Django, Next.js, React, or similar)
- Solid database experience , production work with a relational database ( PostgreSQL preferred, or MySQL/similar): schema design, query performance, and migrations on live systems
- Experience with vector databases (pgvector, Pinecone, Qdrant, Weaviate, or similar), embeddings, similarity search, and retrieval pipelines
More about this role
We're a Y Combinator-backed startup building the AI infrastructure layer for the IT services industry: the platform IT providers use to deliver governed AI to the small businesses they manage, and to build and run AI agents for them on the same rails.
It's a genuine blue-ocean space, no incumbent has built this yet - while demand is already strong and validated, with small businesses paying thousands of dollars per month for AI delivered this way today.
The founder previously built an AI coding platform to 2M+ users. You'd join as the founding engineer at the exact moment the category is forming.
You'll be the first engineering hire, working directly with the founder and owning large parts of the platform architecture. The system has two tightly connected halves:
- A multi-tenant AI gateway: an Anthropic/OpenAI-compatible API layer that popular AI tools (Claude Code, Codex, Gemini CLI, and others) are pinned to via managed endpoint configuration
- Identity binding: every request tied to a real employee identity via Microsoft Entra ID (OIDC/SAML federation), with per-tenant isolation across hundreds of end-client organizations
- Usage metering, pooled credit management, and...
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