Interview Prep by Role
AI interview questions, one role at a time.
10 AI role guides with 200 interview questions and model answers — the skills each role is hired for, the systems you are expected to have opinions about, and the questions that actually get asked in the loop.
Engineering
AI Engineer
Builds the whole feature around the model — retrieval, orchestration, latency budgets, and the failure states users actually see.
- Fundamentals
- System design
- Metrics
- Production
- Tradeoffs
- Debugging
- Collaboration
20 questions
LLM Engineer
Owns how the model itself behaves: prompt architecture, context budgets, decoding, fine-tuning, and the serving stack underneath.
- Fundamentals
- Tradeoffs
- Production
- Metrics
- Debugging
- System design
- Collaboration
20 questions
MLOps Engineer
Own the machinery around models: pipelines, registries, rollout, monitoring, and the cost of keeping it all running.
- Fundamentals
- Production
- Debugging
- Metrics
- System design
- Tradeoffs
- Collaboration
20 questions
AI Solutions Architect
Shape AI systems around real client constraints: budgets, compliance boundaries, legacy systems, and people who must approve the design.
- Fundamentals
- Tradeoffs
- Collaboration
- Metrics
- System design
- Production
20 questions
AI Security Engineer / Red Teamer
Break AI systems on purpose, then design the controls that make those attacks fail.
- Fundamentals
- System design
- Production
- Debugging
- Tradeoffs
- Metrics
- Collaboration
20 questions
Data & Research
Machine Learning Engineer
Ship models that learn from data, and prove they still work next quarter.
- Fundamentals
- Metrics
- Production
- Tradeoffs
- Debugging
- System design
- Collaboration
20 questions
NLP Engineer
Interview questions for engineers held accountable for how a system actually handles human language.
- Fundamentals
- Metrics
- Collaboration
- Tradeoffs
- Debugging
- System design
- Production
20 questions
Data Engineer (AI-focused)
Interview questions for the engineers who guarantee the data every AI system quietly depends on.
- Fundamentals
- Debugging
- Production
- Metrics
- Tradeoffs
- System design
- Collaboration
20 questions
AI Research Scientist
Design experiments that survive scrutiny and tell you whether a result is real before anyone else has to ask.
- Fundamentals
- Metrics
- Tradeoffs
- Debugging
- System design
- Collaboration
- Production
20 questions
Product & Strategy
Prefer to practise by topic?
This section is organised by role — what a specific job is hired for and how its interviews are shaped. The question bank at /qna is organised by topic: 93 questions on RAG, agents, LLMOps, evaluation, and system design, regardless of the title on the job post. Neither replaces the other — use the role pages to work out what to prepare, and the topic bank to drill the subjects that keep coming up.