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Updated weekly · Last refresh Aug 30

Amazon Web Services AI Engineer Interview Questions

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

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1
CodingStart here. 6 questions · ~59 min
Top-K Similarity Index for EmbeddingsHard
Practice

Maintain the top-k cosine-similar embeddings from a stream using normalization and a bounded min-heap.

Amazon Web Services
Thread-Safe Queue for Async BatchingHard
Practice

Implement a condition-based queue that preserves FIFO order and flushes SageMaker inference requests by size or maximum wait time.

ml inferenceAmazon Web Services
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2
System Design3 questions · ~29 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingAmazon Web Services
Multi-Tenant Inference Serving PlatformHard

Evaluates system design for multi-tenant inference scalability, autoscaling, and resource efficiency.

Amazon Web Services
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3
Generative AI & LLMs5 questions · ~49 min
Single vs Multi Agent SupportEasy

Compare single-agent and multi-agent designs for customer support, with attention to evaluation, safety, latency, and operational tradeoffs.

Amazon Web Services
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4
NLP3 questions · ~29 min
Embedding Distortion and HNSW TuningMedium

Tests understanding of vector search behavior and practical tuning of HNSW for recall-speed trade-offs.

Vector SearchAmazon Web Services
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5
Model Evaluation3 questions · ~29 min
LLM Performance in ProductionMedium

Assesses your approach to measuring real-world LLM performance across technical and user-centric metrics.

latencyAmazon Web Services
Production LLM Evaluation MetricsMedium

Assesses your ability to design evaluation pipelines for factuality and alignment in production.

Amazon Web Services
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6
More topics2 questions · ~20 min
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The finish line: interview-readyComplete all 22 questions to finish this plan.