Iamneo.ai AI Engineer Interview Questions
The questions to prepare for a Iamneo.ai AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Identify major LLM serving bottlenecks and design mitigations across compute, memory, networking, batching, and reliability.
Design a real-time LLM serving platform with streaming data, intelligent routing, adaptive model selection, and reliable fallback behavior.
Design a distributed vector search index that supports massive collections while maintaining low query latency and reliable freshness.
Improve RAG quality, latency, and cost while controlling hallucinations and prompt injection.
Explain how to build a grounded RAG pipeline covering ingestion, retrieval, generation, evaluation, and safety.
Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
Compute cosine similarity for equal-length high-dimensional vectors using dot products and Euclidean norms.
Design an offline and online evaluation framework for a new embedding technique used in vector search.
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