An Apache-2.0 AI engineering interview-prep repo maps the hiring bar for LLM, agent and platform roles

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Dan Kornas surfaced the repository on August 19 (326 likes, 14,819 views), describing a topic map that runs from LLM fundamentals and prompting through RAG, agents, fine-tuning, evaluation, safety, multimodal and infrastructure. The system-design section is the part that reads as a snapshot of what companies are actually hiring for: designing RAG systems, inference platforms, coding agents, evaluation platforms and multi-agent workflows, plus production failure scenarios covering latency, cost, hallucinations, observability, provider outages and retrieval quality. Single-source promotion of an open repo, so weigh the content rather than the endorsement.