Top 28
Prep plan
Updated weekly · Last refresh Aug 30

SpotOn: Corporate AI Engineer Interview Questions

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

28questions
~4htotal time
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1
CodingStart here. 5 questions · ~47 min
Directed Graph Cycle DetectionMedium
Practice

Determine whether a directed graph contains a cycle using DFS or topological sorting.

RecursionGraphsSpotOn: Corporate
Binary Tree Level Order TraversalEasy
Practice

Traverse a binary tree level by level using a queue-based breadth-first search.

QueueTreesSpotOn: Corporate
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2
Generative AI & LLMs9 questions · ~84 min
Choose Between RAG and Fine-TuningEasy

Compare RAG and fine-tuning, and decide when each is the better fit for an LLM product.

SpotOn: Corporate
Evaluate a Grounded Support AssistantMedium

Design an eval-first framework for a grounded LLM assistant, covering quality, hallucination, safety, latency, and cost before scaling.

HallucinationStructured ExtractionLLM EvaluationSpotOn: Corporate
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3
System Design5 questions · ~47 min
Design an LLM Serving PlatformHard

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

Cold StartFeature StoreModel ServingSpotOn: Corporate
Low-Latency Embeddings InfrastructureHard

Tests your system design skills for scalable embedding generation and fast vector retrieval.

Vector SearchRetrievalSpotOn: Corporate
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4
Behavioral & Leadership7 questions · ~66 min
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5
More topics2 questions · ~19 min
PySpark/Pandas Transaction Feature PipelineMedium

Tests your data engineering skills for large-scale preprocessing and feature generation.

data preprocessingFeature EngineeringsparkSpotOn: Corporate
Evaluate LLM Relevance and SafetyMedium

Tests your ability to design evaluation metrics and gating criteria for production LLM systems.

Evaluation TechniquesHallucinationLLM EvaluationSpotOn: Corporate
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