Originally published on AI Tech Connect.
When a company hires its first AI engineer, the rubric is ad hoc — often borrowed from software engineering hiring with a few AI keywords added. We covered that scenario separately in our guide to the first AI hire. This article is about a different and more systematic situation: what happens when a scale-up or established tech company — one that already has a functioning AI team — opens a new AI engineering role. At that point, the process is deliberate and repeatable, and it scores against dimensions that most candidates do not even know exist. Understanding this rubric is the fastest leverage a candidate can get. The AI talent shortage is real — as our coverage of AI engineer hiring and retention trends shows, demand for qualified AI engineers continues to outstrip supply significantly…
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