JUST ADD AI Interview Questions
The questions to prepare for JUST ADD AI interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design an eval framework for LLM quality, safety, usefulness, cost, and latency beyond perplexity.
Explain how HNSW, IVF, PQ, and disk-based indexes trade recall, latency, memory, and build cost at embedding scale.
Evaluates prompt design to elicit reasoning and structured outputs.
Architect a reliable multi-agent system in which specialized agents coordinate to complete one complex task.
Analyze the main engineering and ML challenges of building reliable multi-agent systems for collaborative tasks.
Design an LLM serving cache that reduces latency and cost without returning stale, unsafe, or incorrect responses.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.
Evaluates strategies for multi-type data embeddings in vector search.
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