For companies
Ships AI-native products end to end, including the parts users feel. We find the ones who can actually do it, and we figure out the right way to bring them to your problem.
An AI product engineer ships the whole product on top of a model: the interface, the streaming, the latency, and the moments where a user decides whether to trust the thing.
AI products fail in new ways. They are slow, they are wrong sometimes, and they ask the user to trust output they cannot fully check. An AI product engineer designs for those failure modes instead of pretending they do not exist.
Most hiring filters on credentials and years. The thing that makes a ai product engineer good does not show up there. It shows up in how they work, which means you have to watch them work to see it.
That is what we do. We watch people work instead of reading resumes, so the person we send you is calibrated on the actual job, not the interview. Sometimes that is a hire. Sometimes it is a project or a person embedded for a while. We work out the shape with you.
No ai product engineer roles are posted right now. Tell us what you need at hello@inglenook.com and we will start.
A product engineer who ships AI-native software end to end, including the interface, streaming, latency, and trust that make an AI feature usable.
AI products are slow, sometimes wrong, and ask users to trust output. An AI product engineer designs for those failure modes, not just the happy path.
In the US, total compensation typically runs $160k to $230k, plus equity at startups.