Role guide · Free PDF
AI Engineer
LLM fundamentals, RAG, agents, evals and the questions about your own projects.
The guides
Interview Guides by Role and by System
Each guide is a PDF: the questions for one role or one kind of system, a model answer for each, what the interviewer is checking, and the follow-up. They’re free. Leave your email and we’ll send each one the day it’s ready.
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AI Basics: What Everyone Should Know
The AI ideas everyone should know, in plain language: how ChatGPT works, why it makes things up, and what AI can and can’t do. No math, no jargon, and a one-sentence version of every idea you can repeat in a meeting or an interview.
What’s in AI Basics →By role
The interview loop for each job, round by round.
Role guide · Free PDF
ML Engineer
ML fundamentals, model training and evaluation, feature pipelines and the ML system design round.
Role guide · Free PDF
Generative AI Engineer
How LLMs work, prompting, fine-tuning vs RAG, structured outputs, cost and latency.
Role guide · Free PDF
MLOps Engineer
Deploying and serving models, pipelines, monitoring, drift and rollbacks.
Role guide · Free PDF
Data Scientist
Statistics, experiments, SQL, modeling and the product case questions.
Role guide · Free PDF
AI Product Manager
When to use AI, how to measure it, risk and trust, and the product sense round.
System design
A framework for the design round, then one guide per kind of system.
System design · Free PDF
AI System Design
A framework for the design round and worked cases: support bot, document search, coding agent and more.
System design · Free PDF
System Design for AI Agents
Agent loops, tools, state and memory, permissions, and how agents fail in production.
System design · Free PDF
System Design for RAG and LLM Apps
Ingestion, chunking, retrieval, reranking, grounding and evaluating answers.
System design · Free PDF
System Design for ML Systems
Recommendations, ranking, search and fraud detection, from data to serving.
System design · Free PDF
System Design for LLM Inference
Serving models at scale: batching, caching, GPUs, streaming and cost per request.
System design · Free PDF
System Design for Databases
Choosing a database, indexing, replication, sharding, consistency and vector stores.
System design · Free PDF
System Design for Data Pipelines
Batch and streaming, queues, backfills, data quality and feature stores.
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