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

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 /u/Raman606surrey [link] [comments.