Gigapower AI Engineer Interview Questions
The questions to prepare for a Gigapower AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.
Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
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Compute cosine similarity between equal-length numeric vectors using dot products and Euclidean norms.
Evaluates evaluation methodology for generative AI quality, reliability, and usefulness.
Assesses ability to design embedding-based recommendation approaches.
Assesses experience optimizing ML models for latency, memory, and compute constraints.