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