Top 32
Prep plan
Updated weekly · Last refresh Aug 30

Santander AI Engineer Interview Questions

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

32questions
~6htotal time
Track your progressSign up free to work through all 32 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 6 questions · ~67 min
Design an LRU CacheEasy
Practice

Implement an LRU cache in O(1) average time using a hash table and doubly linked list.

Hash TablesQueueLinked ListsSantander
Graph Traversal with BFS and DFSEasy
Practice

Traverse a graph from a start node using BFS and DFS, returning the visit order for each traversal.

StackQueueGraphsSantander
More Coding questions with a free account
2
Model Evaluation3 questions · ~34 min
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCSantander
More Model Evaluation questions with a free account

Sign up to see every question

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

Get my prep plan
3
System Design4 questions · ~45 min
Design a Real-Time ML Feature StoreHard

Design a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.

Feature StoreFeature DriftModel ServingSantander
More System Design questions with a free account
4
Generative AI & LLMs3 questions · ~34 min
Design LLM Systems for Business UseMedium

Discuss how you designed an LLM system for a business use case, including evaluation, hallucination control, and cost latency tradeoffs.

Structured ExtractionPrompt EngineeringLLM EvaluationSantander
More Generative AI & LLMs questions with a free account
5
Machine Learning5 questions · ~56 min
Data vs Model ParallelismMedium

Tests understanding of distributed training strategies and appropriate selection tradeoffs.

gpu hardwaredistributed trainingDeep LearningSantander
More Machine Learning questions with a free account
6
Behavioral & Leadership9 questions · ~101 min
More Behavioral & Leadership questions with a free account
7
More topics2 questions · ~22 min
MLOps Pipeline ReproducibilityMedium

Discuss how to build ML pipelines that are repeatable, traceable, and observable across training and deployment.

model reproducibilitydata pipelinesmlopsSantander
Tokenization vs Stemming vs LemmatizationEasy

Tests your core NLP vocabulary and understanding of text preprocessing techniques.

LemmatizationStemmingTokenizationSantander
The finish line: interview-readyComplete all 32 questions to finish this plan.