Top 24
Prep plan
Updated weekly · Last refresh Aug 30

Front AI Engineer Interview Questions

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

24questions
~4htotal time
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1
CodingStart here. 6 questions · ~58 min
LRU Cache for Fast RetrievalMedium
Practice

Implement an LRU cache using a hash map and doubly linked list to support O(1) get and put operations.

Hash TablesSearchingSortingFront
Merge Overlapping IntervalsMedium
Practice

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

ArraysSearchingSortingFront
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2
Generative AI & LLMs5 questions · ~48 min
Explain Vector Search in RAGMedium

Design a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.

Vector SearchPrompt EngineeringRAGFront
Evaluate a Prompt ChangeHard

Design an eval suite to measure whether a prompt revision improves or regresses LLM performance across 1,000 representative queries.

HallucinationPrompt EngineeringLLM EvaluationFront
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3
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 ServingFront
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4
Behavioral & Leadership6 questions · ~58 min
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5
More topics4 questions · ~38 min
Evaluate Customer-Facing LLM QualityHard

Tests end-to-end evaluation design for LLM quality and safety in production at Front.

monitoringModel MetricsLLM EvaluationFront
ML vs LLM for Message ClassificationMedium

Tests tradeoff reasoning between ML and LLM approaches for classification tasks.

model selectionFeature EngineeringSupervised LearningFront
Choose Embeddings for Semantic SearchMedium

Tests understanding of embedding selection and evaluation for semantic retrieval in customer support.

Language ModelsText ClassificationFront
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The finish line: interview-readyComplete all 24 questions to finish this plan.