The roles: AI product engineer, AI engineer, agentic AI engineer, forward deployed engineer
Comes up in: Behavioural, Hiring manager
This concept is being written. It gets the full five steps — explanation, predict, interview angle, practice with tests, and review cards. Here is exactly what it will cover, so you can study it elsewhere in the meantime.
What it covers
- what each role does day to day
- how they differ from ML engineer / research engineer / data scientist
- skills matrix per role
- typical interview loops per role (candidate reports and company-published process pages, dated)
- where frontend skills are an advantage (product sense, UX of AI, streaming UIs)
Words you will know
What you will practise
- self-assess against the skills matrix
Interview questions this answers
- What is the difference between an AI engineer and an ML engineer?
- What does a forward deployed engineer do?