Top 50
Prep plan
Updated weekly · Last refresh Oct 17

Datadog AI Engineer Interview Questions

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

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1
CodingStart here. 10 questions · ~104 min
Folder Size CalculationMedium
Practice

Recursively traverse a nested folder structure and calculate the total size of all files.

dfsData StructuresAlgorithmsDatadog
Sliding Window Sum with FilterMedium
Practice

Filter tagged values, sort them by timestamp, and compute every sum of the last k values with a sliding window.

aggregationArraysAlgorithmsDatadog
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2
System Design11 questions · ~115 min
LLM Agent for JiraHard

Design an LLM agent that analyzes Jira tickets, proposes vulnerability fixes, generates code, and submits changes safely.

agent workflowsagent designfailure modesDatadog
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3
Generative AI & LLMs9 questions · ~94 min
Reliable JSON Extraction from LLMsMedium

Design a JSON extraction flow that stays valid under malformed inputs, retries, and hallucinated fields.

Datadog
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4
Machine Learning5 questions · ~52 min
Fine-Tuning Without Catastrophic ForgettingHard

Evaluates strategies for stable fine-tuning on telemetry data while retaining prior knowledge.

Fine-TuningDatadog
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5
NLP5 questions · ~52 min
Tokenization for Code and Stack TracesMedium

Assesses NLP preprocessing choices for noisy, mixed-format telemetry text.

TokenizationDatadog
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6
Model Evaluation6 questions · ~63 min
Quantization Tradeoffs for InferenceMedium

Assesses ability to reason about quantization effects on latency and model quality.

inference latencyDatadog
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7
More topics4 questions · ~42 min
Distributed Training with RayHard

Tests distributed systems skills for large-scale training and resilience to node failures.

InfrastructureSchedulingOrchestrationDatadog
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