Tag: applied-ai

What is an applied AI engineer? Someone who builds reliable production systems on foundation models they did not train. The role is defined less by a skill list than by one trait: failure-mode thinking. Here is what the job is, how it differs from ML engineering, and what makes a good one.

A standard software interview will not tell you whether someone can hire as an applied AI engineer. The role-defining trait, making an unreliable model dependable, needs a different loop: a real take-home, a rubric that scores failure-mode thinking, and flags you can read in the room.