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Open role · Engineering · India · Remote or hybrid · Part time

Product Engineer

Build and ship products in the AI space, from the data model and the runtime to the screen a customer touches.

How to apply

The role

You will own features end to end: the schema, the service, the failure modes and the interface. Much of the work sits behind a conversational product, with client state, realtime protocols, durable scheduling, and a runtime that stays dependable when networks and model providers fail. Calling a language model is the easy part. Making it reliable is the job.

What you will do

  • Design and build features across the stack, from schema to interface.
  • Make systems survive real conditions: reconnection, retries, partial failure and recovery.
  • Choose the data structures and interfaces that keep the next change cheap.
  • Write focused tests for the behaviour that matters.
  • Ship to real users on a short loop and act on what comes back.
  • Explain your decisions, your trade-offs, and the scope you left out.

What we look for

We care less about years of experience than about evidence: what you have shipped, the complexity you handled, and how you decide.

  • You have shipped something real and can explain every part of it.
  • Strong fundamentals in data modelling, concurrency and failure handling.
  • Comfortable across the stack, even if you are stronger on one side.
  • You reach for the simplest thing that works.
  • You write clearly. Most engineering disagreements get resolved in writing.
  • You handle ambiguity by making a reasonable assumption, writing it down, and continuing.

The rubric

Every submission is scored on the same public scorecard, whatever stack you choose: core correctness, architecture, coding patterns, failure handling, testing and communication. You can read it before you start.

Read the review scorecard ↗

How we hire

  1. The challenge · Fork the public repo, choose one of five focused problems, and spend roughly 6 to 8 hours on it.
  2. Technical conversation · We walk through your submission together: the architecture, the failure cases you handled, and one trade-off you made.
  3. Team conversation · How you work, what you want to build next, and whatever you want to ask us. Both sides decide.

Skills

  • TypeScript
  • React
  • Next.js
  • React Native
  • Postgres
  • Realtime
  • Durable workflows
  • Testing

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