Live opening · Posted 2 days ago
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Description supplied by the original job listing.
Responsibilities:
Own the backend that powers the conversational experience.
Design the seams between backend and frontend.
Translate the designer's UX specifications into shipped features end-to-end.
Architect features as a new product direction are sequenced.
Author RFCs (Request for Comments) end-to-end.
Set the technical bar across engineering.
Ship through AI agents.
Collaborate closely with the designer.
Collaborate closely with the engineers who build on top of your platform, shaping the API surface to match how the agent actually consumes it.
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 served multiple paying organisations, and you understand viscerally why multi-tenancy is hard. Backend-heavy full-stack. You can architect a backend system and wire a React frontend. Not necessarily 50 / 50 70 / 30 backend/frontend is the expected split.
Strong foundation in systems design, schema design, API design, async patterns, queues, real-time / streaming, caching, and consistency trade-offs. Opinions on these, and the ability to defend them in front of a senior peer.
Strong technical competency in our stack: TypeScript, Node.js, PostgreSQL with Drizzle ORM, and React.
Production experience required.
AI-augmented engineering as a first-class part of your loop. If working through Claude (or equivalent) feels uncomfortable to you, this role is not a fit.
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 the next thing fast 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; startup-scale experience (Seed-Series B); LLM, agent, or AI feature experience (not weighted heavily but if you have it, mention it).
Candidate must be from a SAAS, B2B and Tier one college background.
Experience
3-6 yrs
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