“AI engineers” today are just prompt engineers with better branding?

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Hot take: A lot of what’s being called “AI engineering” right now feels like: prompt tweaking chaining APIs adding retries/guardrails Not actually building models or understanding them deeply. Don’t get me wrong—there’s real skill in making these systems work. But are we over-labeling it as “engineering” when most of the complexity is still in the model and infra built by others? Curious where people draw the line between: using AI effectively vs actually engineering AI systems submitted by /...