AND Digital AI Engineer Interview Questions
The questions to prepare for a AND Digital AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Evaluates your system design skills for building a high-throughput RAG pipeline with reliability and latency targets.
Implement cosine similarity for two numeric vectors using dot product and vector norms.
Tests your approach to data quality, preprocessing, and embedding lifecycle for effective retrieval.
Evaluates your ability to balance latency, cost, and freshness when choosing inference modes.
Tests your ability to select embedding models based on retrieval quality, cost, and operational constraints.
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