GHD AI Engineer Interview Questions
The questions to prepare for a GHD AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Compute cosine similarity for equal-length high-dimensional vectors using dot products and Euclidean norms.
Design a low-latency RAG pipeline that reflects frequent document updates without sacrificing retrieval quality or grounding.
Design a monitoring and retraining strategy to detect and mitigate data drift in a deployed ML model.
Design and benchmark embedding choices for accurate, efficient vector search over multilingual operational documents.
Design a production LLM evaluation strategy when labeled ground truth is limited or unavailable.
Design a low-latency, high-concurrency LLM serving layer with effective prompt, response, and KV-cache strategies.
Design a safe, low-latency RAG pipeline that grounds surgical-system responses in current, authorized data.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.
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