WestJet AI Engineer Interview Questions
The questions to prepare for a WestJet AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Compute cosine similarity for equal-length high-dimensional vectors in one pass with constant auxiliary space.
Design an LLM serving platform that balances inference cost, latency, quality, reliability, and user experience.
Build a hybrid dense and lexical retrieval system, tuning embeddings, indexing, and reranking for high recall and precision.
Design a production LLM evaluation strategy when labeled ground truth is limited or unavailable.
Design a high-throughput RAG pipeline that grounds answers, detects unsupported claims, and balances quality, latency, and cost.
Compare when to fine-tune a foundation model versus relying on prompt engineering with a managed API.
Design an LLM serving architecture that balances throughput, latency, batching, memory use, and reliability.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.
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