Intercom AI Engineer Interview Questions
The questions to prepare for a Intercom AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Assign Intercom Inbox conversations to eligible teammates using weighted capacity, skill matching, and greedy utilization balancing.
Assign Intercom tasks to the least busy capacity-aware agent using a heap and deterministic tie-breaking.
Design a support RAG assistant that raises CSAT while keeping hallucinations under 2%, resisting prompt injection, and meeting cost and latency limits.
Compare single-agent and multi-agent designs for customer support, with attention to evaluation, safety, latency, and operational tradeoffs.
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Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Tests understanding of embedding model trade-offs for accurate, fast retrieval in Intercom-style support search.
Tests ability to build evaluation pipelines covering quality, safety, and relevance.
Discuss integrating a third party API into a pipeline and handling rate limits without duplicating or losing data.