AI Engineering Interviews: Answer Every Topic With a Number, Trade-off, Failure Mode

Bashiri Smith · Facebook reel · 2026-09-12 · 0:08 · 16,085 views · Open on Facebook

Topics: Resume, Job Search & Interviews · Level: intermediate

Summary

An 8-second reel with no speech. It shows the interview topics the creator says decide AI engineering offers, but the list itself is only on screen and isn't in the caption. The one lesson: you don't need to master every topic, but you should be able to talk about any of them using a concrete number, a trade-off and a failure mode. That is what makes you sound like someone who has shipped, not someone who read a tutorial. The rest of the caption promotes the creator's guide of 100 interview questions and his AI engineering community.

Key points

• The topic list is only shown on screen in the video. The caption and transcript don't include it, so watch the reel to see the topics.
• You don't need to know every interview topic perfectly. You do need to be able to speak on any of them.
• Build each answer from three parts: a concrete number (a metric, latency, cost or scale), a trade-off you weighed, and a failure mode you've seen or planned for.
• Numbers, trade-offs and failure modes make you sound like you've shipped. Generic explanations make you sound like you only read a tutorial.
• The creator's guide of 100 AI engineering interview questions is said to cover every topic on the list.
• The creator's community runs weekly sessions: a resume review with a Spotify recruiter, interview-question breakdowns (including one with a Shopify AI/ML engineer), an interview workshop with a Lockheed Martin software engineer, and a call with a data science and ML executive.

Resources mentioned

• 100 AI Engineering Interview Questions Guide · pdf · drive.google.com · free
  The creator's guide of 100 AI engineering interview questions, covering LLMs & RAG, agents, ops & evals, safety, and ML foundations.
  Also in: The 5 Categories Asked in Every AI Engineering Interview (Bashiri Smith on Facebook · notes)
• BASWE.Ai Engineer (Skool community) · community · skool.com · paid
  The creator's paid community and program, with an AI learning roadmap (including the full ops and evaluation track), daily calls with engineers and recruiters, resume and portfolio help, and a job-search pipeline.
  Also in: Basic RAG Pipeline in 60 Seconds: From Documents to Grounded Answers (Bashiri Smith on Facebook · notes), Pointer to Bashiri Smith's Complete AI Engineer Roadmap for 2026 (Bashiri Smith on Facebook · notes), Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), How to Evaluate a RAG Pipeline: Retrieval vs. Generation (Interview Answer) (Bashiri Smith on Facebook · notes) and 76 more

Try this

• For each AI engineering interview topic, prepare a talking point with a concrete number, a trade-off and a failure mode.
• Comment “100” on the reel to get the list of 100 AI engineering interview questions and a link to join the community.