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Prep plan
Updated weekly · Last refresh Aug 30

Curinos AI Engineer Interview Questions

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

16questions
~2htotal time
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1
Generative AI & LLMsStart here. 3 questions · ~24 min
Choose Between RAG and Fine-TuningEasy

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

Curinos
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationCurinos
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2
Model Evaluation3 questions · ~24 min
Measure AI Model PerformanceEasy

Explain how to evaluate an AI model using the right metrics and how metric choice depends on the business goal.

PrecisionAccuracyRecallCurinos
Approach to Underperforming ModelsMedium

Structured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.

PrecisionAccuracyRecallCurinos
Handling Imbalanced Classification DataMedium

Explain how to evaluate and improve a classifier when the target classes are highly imbalanced.

PrecisionThreshold TuningRecallCurinos

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3
Behavioral & Leadership7 questions · ~56 min
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4
More topics3 questions · ~24 min
Design a Digital Banking Offer RankerHard

Design an ML system that ranks banking offers for online customers using retrieval, ranking, and re-ranking.

ML RankingRecommendation SystemsCurinos
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffCurinos
Design a Highly Available ML Serving PlatformMedium

Design a distributed ML serving platform that stays available and scales under failures, traffic spikes, and model updates.

distributed systemsscalabilityhigh availabilityCurinos
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