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Updated weekly · Last refresh Nov 5

Amazon Services AI Engineer Interview Questions

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

50questions
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1
CodingStart here. 8 questions · ~75 min
Implement K-Means ClusteringHard
Practice

Implement k-means clustering from scratch by assigning points to centroids and recomputing means for a fixed number of iterations.

CodingArraysAlgorithmsAmazon Services
Currency Exchange Arbitrage ProblemHard
Practice

Compute currency conversion rates with graph traversal and detect profitable exchange cycles using Bellman-Ford.

currency conversioncycle detectionAlgorithmsAmazon Services
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2
System Design5 questions · ~47 min
Design a Bot-Preventing Verification SystemHard

Design a CAPTCHA-style verification system that uses 16 icons to distinguish humans from automated clients.

inference latencyanomaly detectionfailure modesAmazon Services
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3
NLP8 questions · ~75 min
Serve LLMs with Low LatencyHard

Discuss practical strategies for serving LLMs or deep neural networks at scale with low latency, while balancing quality and cost.

Neural NetworksLanguage ModelsDeep LearningAmazon Services
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4
Generative AI & LLMs5 questions · ~47 min
Handle Tool-Calling FailuresHard

Design a reliable recovery path for malformed JSON, unknown tools, validation errors, and repeated tool-calling failures.

error handlingStructured Extractiontool useAmazon Services
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5
Model Evaluation9 questions · ~85 min
Monitor Production Model DegradationMedium

How to monitor a production model for degradation and alert before business impact grows.

AccuracyThreshold TuningRecallAmazon Services
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6
Pipelines8 questions · ~75 min
Data Quality in ML PipelinesMedium
Recently asked

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingAmazon Services
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7
More topics7 questions · ~66 min
Federated Learning for ProductionHard

Tests understanding of federated learning constraints, privacy, and system design for deployment.

Feature EngineeringRegularizationDeep LearningAmazon Services
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The finish line: interview-readyComplete all 50 questions to finish this plan.