Factored GenAI Engineer Interview Questions
The questions to prepare for a Factored GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Reduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
FactoredExplain how self-attention works and why it is central to transformer-based LLMs.
FactoredEvaluate a fine-tuned open-source model against a commercial LLM API using offline quality checks and online experimentation.
FactoredImplement insert, delete, and random retrieval in O(1) using an array and hash map.
FactoredDesign a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
FactoredDesign a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.
FactoredTests streaming design, memory efficiency, and practical approaches to near-duplicate detection.
FactoredTests algorithmic thinking and complexity analysis for a classic dynamic programming problem.
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