A demo that impresses in a meeting can fall apart in production. The model hallucinates, the data pipeline stalls, or the cost per request climbs faster than revenue. Shipping AI features that stay useful takes engineers who understand models, data, and software together. That is why product teams now hire dedicated AI developers instead of relying on one-off experiments. This guide explains...