Top 36
Prep plan
Updated weekly · Last refresh Oct 17

Citi AI Engineer Interview Questions

The questions to prepare for a Citi AI Engineer interview. Questions from real interview reports rank first. Updated daily.

36questions
~5htotal time
Track your progressSign up free to work through all 36 questions and resume where you left off.
Start practicing free →
1
System DesignStart here. 12 questions · ~102 min
Design a GenAI SystemHard
Recently asked

Design a production generative AI system covering data, models, serving, evaluation, monitoring, and failure handling.

system designCodingGenAICiti
Design a Financial RAG PipelineHard
Recently asked

Design a secure, grounded RAG pipeline for a financial application at Citi.

data securitysystem designfactual groundingCiti
More System Design questions with a free account
2
Generative AI & LLMs7 questions · ~59 min
Transformer vs RNN ArchitectureHard
Recently asked

Explain Transformer architecture, self-attention, positional information, and its practical advantages over recurrent neural networks.

llm basicstransformersDeep LearningCiti
More Generative AI & LLMs questions with a free account
3
Machine Learning3 questions · ~25 min
Data Drift and RetrainingHard
Recently asked

Design a production process to detect data drift, validate model degradation, and retrain safely at Citi.

data driftproduction environmentmodel trainingCiti
Learning Types for Fraud DetectionHard
Recently asked

Explain when supervised, unsupervised, and reinforcement learning apply to fraud detection at Citi.

Unsupervised Learningmodel choiceSupervised LearningCiti
More Machine Learning questions with a free account
4
Model Evaluation4 questions · ~34 min
Baseline Drift Detection for EmbeddingsMedium
Recently asked

Evaluates methods for monitoring embedding drift and maintaining model reliability.

Citi
More Model Evaluation questions with a free account
5
Behavioral & Leadership8 questions · ~68 min
More Behavioral & Leadership questions with a free account
6
More topics2 questions · ~17 min
Anomaly Detection with Rolling WindowsHard
Practice
Recently asked

Detect transaction indices whose values exceed a rolling sample-standard-deviation threshold using an O(n) sliding window.

streamingaggregationfrequency countCiti
Use Vector Databases with EmbeddingsHard
Recently asked

Explain how embeddings and vector databases fit into a retrieval pipeline for grounded AI responses.

Language ModelsText ClassificationWord EmbeddingsCiti

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
The finish line: interview-readyComplete all 36 questions to finish this plan.