Citi AI Engineer Interview Questions
The questions to prepare for a Citi AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Design a distributed AI training platform that supports large-scale data processing, multi-node training, evaluation, and production model rollout.
CitiDesign an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
CitiTests ability to maintain ML performance over time with monitoring, retraining, and governance.
CitiTests knowledge of ML paradigms and how they map to fraud detection use cases.
CitiExplain how embeddings and vector databases fit into a retrieval pipeline for grounded AI responses.
CitiDiscuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.
CitiTests skill in selecting metrics, test design, and validation for LLMs in finance.
CitiTests understanding of core LLM architectures and their practical implications versus RNNs.
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