Scalefree AI Engineer Interview Questions
The questions to prepare for a Scalefree AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design an embedding and vector search approach for personalized New York Life recommendations.
Design a token-aware, hierarchical document processing pipeline that preserves global context despite language-model context limits.
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Explain RAG and implement a retrieval pipeline that grounds LLM answers in relevant document chunks.
Design a high-throughput RAG pipeline that grounds answers, detects unsupported claims, and balances quality, latency, and cost.
Analyze the main engineering and ML challenges of building reliable multi-agent systems for collaborative tasks.
Design an LLM serving architecture that manages long generation latency, GPU efficiency, reliability, and model quality.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.