Top 19
Prep plan
Updated weekly · Last refresh Aug 30

Optum AI Engineer Interview Questions

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

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1
Model EvaluationStart here. 3 questions · ~29 min
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallOptum
Evaluate RAG Retrieval and AnswersMedium

Define metrics for retrieval quality, answer quality, and hallucination in a RAG style LLM application.

HallucinationRetrievalModel MetricsOptum
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2
Generative AI & LLMs3 questions · ~29 min
RAG Trade-offs: Cost Speed PrecisionHard

Tests deep understanding of RAG approaches and how to balance cost, latency, and accuracy.

Trade-offsOptum
Explain RAG in Enterprise AIMedium

Explain what RAG is and how it reduces stale, ungrounded answers in enterprise AI systems.

HallucinationRetrievalRAGOptum
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3
System Design5 questions · ~49 min
Design an LLM Serving PlatformHard

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

Cold StartFeature StoreModel ServingOptum
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4
Behavioral & Leadership5 questions · ~49 min
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5
More topics3 questions · ~29 min
Reverse a Linked ListEasy
Practice

Reverse a singly linked list in place using pointer manipulation.

RecursionLinked ListsOptum
Explain Embeddings in NLPMedium

Explain how embeddings represent text, why they help NLP models, and how to use them in practice.

Language ModelsText ClassificationWord EmbeddingsOptum
Two Sum Index LookupEasy
Practice

Find two indices in an array whose values sum to a target using a hash table in O(n) time.

Hash TablesArraysTwo PointersOptum

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