Persistent Systems GenAI Engineer Interview Questions

The questions to prepare for a Persistent Systems GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.

Deploy a Cloud ML Inference System

Medium

Design a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.

InfrastructureFeature DriftModel Serving

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Compare GANs, VAEs, Diffusion

Medium

Compare GANs, VAEs, and diffusion models by training objective, generation behavior, tradeoffs, and practical use cases.

HallucinationLLM EvaluationFine-Tuning

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Evaluate an LLM System

Medium

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

HallucinationPrompt EngineeringLLM Evaluation

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ML Project Impact

Medium

Tests your ability to deliver ML solutions and communicate measurable business or technical impact.

Cross-ValidationFeature EngineeringSupervised Learning

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Synthetic Data Generation Function

Hard

Tests your coding skills and understanding of synthetic data generation for ML/GenAI workflows.

RecursionMathArrays

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Approach to Underperforming Models

Medium

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

PrecisionAccuracyRecall

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