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Updated weekly · Last refresh Oct 17

Freddie Mac GenAI Engineer Interview Questions

The questions to prepare for a Freddie Mac GenAI Engineer interview. Questions from real interview reports rank first. Updated daily.

24questions
~3htotal time
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1
Generative AI & LLMsStart here. 6 questions · ~48 min
Choose Between RAG and Fine-TuningEasy

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

Freddie Mac
Reduce Hallucinations in LLM AnswersEasy

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

HallucinationPrompt EngineeringRAGFreddie Mac
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2
Pipelines3 questions · ~24 min
CI/CD Pipeline for AI ModelsMedium

Design a CI/CD pipeline for AI model deployment with automation, orchestration, infrastructure, and quality gates.

InfrastructureToolsQualityFreddie Mac
Cost Optimization for Large ModelsMedium

Evaluates your approach to controlling inference and infrastructure costs at scale.

cost optimizationFreddie Mac
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3
System Design7 questions · ~56 min
Scaling a Machine Learning PipelineMedium

Evaluates how you scale ML pipelines under throughput pressure.

scalingtechnical experienceFreddie Mac
Low-Latency Concurrent LLM APIHard

Tests system design for concurrency and low-latency LLM inference.

system designlow latencyFreddie Mac
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4
Behavioral & Leadership6 questions · ~48 min
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5
More topics2 questions · ~16 min
Monitor Deployed Model PerformanceMedium

Approach for monitoring a deployed model and improving accuracy and operational efficiency over time.

CalibrationAccuracyThreshold TuningFreddie Mac
Evaluating Generative Model QualityMedium

Assesses how you measure generative quality using metrics beyond accuracy.

model performanceevaluation metricsAccuracyFreddie Mac

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