Perigon Search Interview Questions
The questions to prepare for Perigon Search interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design a low-latency, high-concurrency LLM serving layer with effective prompt, response, and KV-cache strategies.
Design an LLM serving platform that balances inference cost, latency, quality, reliability, and user experience.
Architect a reliable multi-agent system in which specialized agents coordinate to complete one complex task.
Design a low-latency, memory-efficient cache for storing and retrieving high-dimensional vector embeddings at scale.
Tests ownership and stakeholder management when a customer solution must change due to technical constraints or shifting scope.
Design a high-throughput RAG pipeline that grounds answers, detects unsupported claims, and balances quality, latency, and cost.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.
Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.
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