What is AI Engineering, and how is it different from Machine Learning Engineering?
The opener in half of all Applied AI screens, and most candidates answer it with a definition nobody scores. The distinction that actually earns points is about where you start and what your bottleneck turns out to be.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
The opener in half of all Applied AI screens, and most candidates answer it with a definition nobody scores. The distinction that actually earns points is about where you start and what your bottleneck turns out to be.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
