About the role
As Senior AI Product Engineer, you will architect the multi-tenant foundation of the platform: tenant isolation, RBAC, and per-tenant quotas; and write the patterns the team builds on. You will spend roughly 70% of your time on the backend and 30% on the frontend.
Responsibilities:
- Architect the multi-tenant data model, APIs, and the seams between backend and frontend.
- Own the backend powering the conversational experience: streaming agent responses, artifact persistence, file handling, real-time state, conversation history, and tool-call execution.
- Translate designer UX specifications into shipped features end-to-end. Author RFCs; write design documents specifying the problem, alternatives, trade-offs, the decision, and what is explicitly not being built.
- Ship through AI agents. Write specifications Claude (or equivalent) can execute against, review the output critically, and ship the result.
- Set the technical bar across engineering; review work, raise architectural standards, and informally mentor peers.
- Collaborate closely with designers and engineers building on top of the platform.
Requirements:
- 3-5 years of total engineering experience.
- At least 2 years on multi-tenant SaaS at a production scale. You have shipped a B2B SaaS product that served multiple paying organizations.
- Backend-heavy full-stack. You can architect a backend system and wire a React frontend (70/30 backend/frontend split).
- Strong foundation in systems design: schema design, API design, async patterns, queues, real-time/streaming, caching, and consistency trade-offs.
- Strong technical competency in our stack: TypeScript, Node.js, PostgreSQL, and React.
- Production experience required.
- AI-augmented engineering is a first-class part of your loop. Working through Claude (or equivalent) must feel comfortable.
- Written communication strong enough to author RFCs that an AI agent or a junior engineer can build from without you in the room.
- Smart and curious: first-principles reasoning, comfortable in ambiguity, learns fast.
- Startup-scale experience (Seed-Series B).
Bonus (Nice-to-Have):
- Experience with chat UI, artifact rendering, streaming agent responses, or similar real-time surfaces.
- Experience designing APIs that a retrieval or context layer plugs into.
- Has worked closely with a designer as a peer collaborator.
- Has mentored a junior engineer to ship-readiness.
- LLM, agent, or AI feature experience.