Air Canada AI Engineer Interview Questions
The questions to prepare for a Air Canada AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
Assesses system design judgment for agent architectures in complex operational decision-making.
Evaluates design considerations for multi-agent systems supporting operational logistics workflows.
Tests ability to detect and manage data drift in streaming ML pipelines using telemetry.
Assesses trade-off decision-making for production ML systems under cost and latency constraints.
Tests ability to compare embedding models and choose trade-offs for vector search quality and cost.
Tests understanding of embeddings and practical optimization techniques for NLP performance.
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