EQ Bank | Canada's Challenger Bank AI Engineer Interview Questions
The questions to prepare for a EQ Bank | Canada's Challenger Bank AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Tests how candidates balance AI experimentation, governance, reliability, and delivery risk in a large banking environment.
Tests production ownership, incident prioritization, technical judgment, and learning from remediation.
Implement a concurrent LRU cache that prevents duplicate model inference for the same key.
Design an evaluation framework that detects LLM drift, tracks quality degradation, and supports reliable regression analysis over time.
Design a financially safe RAG pipeline, including retrieval, grounding, citations, evaluation, and prompt-injection defenses.
Design a scalable embedding pipeline and approximate nearest-neighbor index for semantic text retrieval.
Design an LLM serving architecture that manages long generation latency, GPU efficiency, reliability, and model quality.
Approach for detecting, interpreting, and responding to model drift in a production AI system.
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