Senior AI Product Engineer

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, artefact persistence, file handling, real-time state, conversation history, and tool-call execution.
• Translate designer UX specifications into shipped features end-to-end.
• Author RFCs - written 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 production scale. You have shipped a B2B SaaS product that serves multiple paying organisations.
• 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 with ambiguity, learns fast.
• Startup-scale experience (Seed-Series B).

Bonus (Nice-to-Have):

• Experience with chat UI, artefact 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.