Doctolib AI Engineer Interview Questions
The questions to prepare for a Doctolib AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a medical RAG pipeline that answers only from trusted evidence, cites sources, refuses uncertainty, and resists prompt injection.
Design a reliable multi-agent architecture for complex enterprise workflows while controlling hallucinations, prompt injection, latency, and cost.
Design Nscale's high-concurrency LLM serving architecture with batching, caching, and model offloading.
Design a safe, measurable feedback loop that uses RBC user interactions to improve model performance continuously.
Design a reliable, privacy-preserving multi-agent healthcare system with safe orchestration, verification, monitoring, and human oversight.
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Explain embeddings and how to apply vector search to semantic retrieval over medical text.
Design an evaluation framework that measures both LLM answer quality and harmful or unsafe behavior.
Select and justify the evaluation metrics needed to move an LLM from prototype testing to reliable production monitoring.