Top 19
Prep plan
Updated weekly · Last refresh Sep 22
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Gigapower AI Engineer Interview Questions

The questions to prepare for a Gigapower AI Engineer interview. Questions from real interview reports rank first. Updated daily.

19questions
~3htotal time
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1
Generative AI & LLMsStart here. 3 questions · ~24 min
State Management for Long Running AgentsHard

Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.

long contextcontext windowstate managementGGigapower
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationGGigapower
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2
System Design7 questions · ~56 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingGGigapower
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingGGigapower
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3
Behavioral & Leadership4 questions · ~32 min
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4
More topics5 questions · ~40 min
Evaluating Generative AI PerformanceMedium

Evaluates evaluation methodology for generative AI quality, reliability, and usefulness.

model performancegenerative aiGGigapower
Embeddings for Recommendation SystemsMedium

Assesses ability to design embedding-based recommendation approaches.

implementationGGigapower
Optimizing Models for Edge DeploymentMedium

Assesses experience optimizing ML models for latency, memory, and compute constraints.

edge devicesdeploymentGGigapower
Fine-tuning vs RAG for TasksMedium

Assesses when to fine-tune versus use RAG to meet business requirements.

RAGFine-TuningGGigapower
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The finish line: interview-readyComplete all 19 questions to finish this plan.