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Updated weekly · Last refresh Oct 17

Grafana Labs AI Engineer Interview Questions

The questions to prepare for a Grafana Labs AI Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
Generative AI & LLMsStart here. 10 questions · ~80 min
Evaluate Retrieval Without GenerationHard

How to measure retrieval quality separately from answer generation in a RAG system.

Grafana Labs
Reduce Hallucinations in LLM AnswersEasy

Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.

HallucinationPrompt EngineeringRAGGrafana Labs
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2
System Design10 questions · ~80 min
Vector Search for Massive DatasetsHard

Design a distributed vector search index that supports massive collections while maintaining low query latency and reliable freshness.

Vector Searchlow latencydistributed systemsGrafana Labs
Serving Multiple Fine-Tuned LLMsHard

Design a low-latency, cost-aware serving platform for multiple fine-tuned LLMs under variable traffic.

gpu hardwarelatencyml inferenceGrafana Labs
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3
Machine Learning4 questions · ~32 min
Distance Metrics in Vector SearchMedium

Evaluates metric choices in vector similarity search.

Vector SearchGrafana Labs
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4
Model Evaluation3 questions · ~24 min
Evaluate Production AI PipelineMedium

Tests evaluation framework for production-grade generative AI systems.

performance evaluationrelevancegenerative aiGrafana Labs
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5
Coding4 questions · ~32 min
Validate Generated Query SyntaxEasy

Tests ability to implement safe input validation for generated structured queries.

functionsbasicsvalidationGrafana Labs
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6
Behavioral & Leadership9 questions · ~72 min
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7
More topics2 questions · ~16 min
Domain Tokenization for LogsMedium

Explores tokenization strategies for technical logs.

challengesTokenizationGrafana Labs
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