Xometry GenAI Engineer Interview Questions
The questions to prepare for a Xometry GenAI Engineer interview. Questions from real interview reports rank first. Updated daily.
Talk through a real generative AI project, focusing on architecture, evaluation, hallucination risk, and how you handled safety issues in practice.
XometryExplain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
XometryDesign a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.
XometryTests problem decomposition, ML methodology, and end-to-end execution.
XometryNormalize text, replace URLs, preserve contractions, and enforce a token limit using regular-expression scanning.
XometryAssesses decision criteria for choosing between proprietary and open-source models in enterprise settings.
XometryLooks at evaluation approaches tailored to industrial domains and real-world applicability.
XometryEvaluates ability to architect scalable data ingestion, processing, and training systems.
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