AI Product Engineer
Engineering5+ yearsRemote · Bangalore, India
Vidman AI serves open models over one OpenAI-compatible endpoint at per-million-token rates, and trains custom models on dedicated GPUs — customers keep the weights. As an AI Product Engineer you build the surfaces that make that engine feel inevitable: the platform console, the API experience, the model catalog, the pricing calculator, and the docs developers read before their first call.
What you'll do
- 01Design, build, and ship end-to-end features across the Vidman AI console and public surfaces — from model catalog to billing to onboarding.
- 02Craft the developer experience of one OpenAI-compatible API: error messages, streaming behaviour, SDK ergonomics, quickstarts.
- 03Own the frontend architecture in TypeScript, React, and Next.js, and the API boundaries behind it.
- 04Turn what research and applied ML land — new models, new fine-tuning methods, router improvements — into visible, usable features.
- 05Instrument whatever ships: activation, funnels, latency budgets — and act on what the numbers say.
- 06Talk to users and read support threads, closing the loop between what developers hit and what gets built next.
What you bring
- At least 5 years shipping production web applications, with strong TypeScript and React.
- Full-stack comfort: design an API, write the migration, polish the UI it drives.
- Real fluency in LLM concepts — tokens, context windows, adapters, fine-tuning — even without having trained a model yourself.
- Product judgment: able to argue for a scope cut — and be right.
- Clear writing: the docs and interface copy are part of the product.
Nice to have
- Experience building against OpenAI-compatible APIs or developer SDKs, at any layer.
- Usage-based or metered billing products, built or bought.
- Design sensibility — noticing the off-by-one pixel and the off-by-one word.
- Open-source contributions that can be read.