Practice
Pick a topic. You'll get a real interview question, write your own answer, and get graded honestly — with the specific gaps and a model answer to compare against.
AI stack
RAG & retrieval49
Chunking, hybrid search, reranking, grounding and citations.
Embeddings & vector search14
Similarity metrics, indexes, dimensionality, the normalisation gotchas.
Prompting & context39
System prompts, context windows, structured outputs, caching.
Agents & tool use24
Tool calling, orchestration, multi-agent patterns, failure modes.
Evaluation & safety35
Evals, hallucination, guardrails, injection, bias and model cards.
LLM foundations56
Transformers, attention, fine-tuning, inference cost and trade-offs.
Coming next
Cloud & DevOps · 17Frontend · 17Backend & system design · 22Behavioural · 7
These questions are already written and classified — we're focusing on the AI stack first.