AI Engineering
Interview prep for engineers who build, evaluate, and operate AI-powered applications, and for leads whose teams use them.
Core topics
The fundamentals most AI engineering interviews test.
LLM Foundations
Explain tokens, context windows, sampling, and hallucinations
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Prompting & Structured Output
Write clear prompts and validate structured output
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Embeddings & Retrieval
Find and rank candidates with lexical, semantic, and hybrid search
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RAG & Data Pipelines
Build and troubleshoot retrieval-grounded applications
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Tool Calling & Agents
Design validated tools, bounded loops, and safe side effects
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Evaluation & Observability
Measure quality, investigate failures, and gate releases
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Security & Privacy
Defend against injection, data exposure, and excessive agency
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Production & Reliability
Run AI features within latency, rate-limit, and cost budgets
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Extended topics
Deeper areas for specialized roles.
ML & Data Foundations
Split data correctly, spot leakage, and respond to drift
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AI Application Integration
Stream, cancel, and recover AI responses in accessible UIs
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Model Adaptation
Decide when to fine-tune and prove the change helped
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Multimodal & Document AI
Extract verifiable evidence from documents, images, and audio
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Model Serving & Inference
Reason about prefill, decode, batching, memory, and tail latency
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Responsible AI & Governance
Design oversight, escalation, and release accountability
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AI Product & Experimentation
Define outcomes, run experiments, and decide what to ship
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AI Developer Tooling
Use coding assistants, MCP servers, and agent harnesses safely
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For team and tech leads
Scenario questions for leads and managers whose teams use AI. No coding required.
How this track works
1
Study
Each question comes with a study guide: concepts, worked examples, and exercises.
2
Practice
Answer the interview question yourself, use hints if you need them, then compare with the reference answer and score yourself with the rubric.
3
Interview rounds
Rehearse the question in the round formats interviewers use. Prerequisites are suggestions, never requirements.