Originally published on AI Tech Connect.
Why your first AI hire is different from your first backend hire When you hired your first backend engineer, the interview loop mostly worked. You could look at a pull request and tell whether the code was sound. The candidate's previous employer had probably shipped something similar to what you needed. And the failure modes of a bad hire were visible within weeks: broken builds, missed deadlines, brittle APIs. AI engineering breaks all three of those assumptions. The output of an AI feature is probabilistic — a demo that works in the interview can fail on 30% of real inputs, and you will not know unless someone builds the measurement. Job titles have inflated faster than the underlying skills: "AI engineer" on a CV can mean anything from "fine-tuned open-weight models on custom…
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