Top 19
Prep plan
Updated weekly · Last refresh Aug 30

Handshake AI Engineer Interview Questions

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

19questions
~3htotal time
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1
CodingStart here. 5 questions · ~47 min
Top-K Similarity SearchMedium
Practice

Return the top-k Handshake Search vectors by cosine similarity using a bounded heap.

Handshake
Clean and Normalize Job DataMedium

Tests your ability to build reliable data preprocessing pipelines for downstream AI.

data cleaningnormalizationHandshake
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2
Generative AI & LLMs6 questions · ~56 min
Approach LLM Fine-Tuning for TasksMedium

Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.

Prompt EngineeringLLM EvaluationFine-TuningHandshake
Transformer Basics for LLMsMedium

Assesses your foundational understanding of the Transformer architecture used in modern LLMs.

llmHandshake
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3
Behavioral & Leadership4 questions · ~37 min
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4
More topics4 questions · ~37 min
Design an LLM Serving PlatformHard

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

Cold StartFeature StoreModel ServingHandshake
Production LLM Evaluation MetricsMedium

Assesses your ability to define and track metrics that reflect real user outcomes.

evaluation metricsproductionHandshake
Embeddings for Job MatchingMedium

Assesses practical knowledge of embeddings for improving relevance in job discovery.

search relevanceHandshake
Integrating Multiple AI ModelsHard

Evaluates system design skills for combining models into a production career guidance workflow.

system integrationHandshake
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