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Production AI Engineering Interview Questions | Buncho

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Python for AI/ML75 Machine Learning Fundamentals10 ML Algorithms0 ML System Design1 Deep Learning5 Statistics and Mathematics1 Generative AI and LLMs122 Embeddings13 RAG and Vector Databases47 AI Agents and Tool Calling50 MCP0 Multimodal AI29 LLM Evaluation and Testing27 AI Safety, Ethics, and Responsible AI36 AI System Design41 Fine-Tuning25 AI Infrastructure and Scalability29 LLM Gateways0 Production AI Engineering39 AI Engineering Case Studies15

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Production AI Engineering interview questions

Monitoring, drift, cost, and reliability.

All topics565 Python for AI/ML75 Machine Learning Fundamentals10 ML Algorithms0 ML System Design1 Deep Learning5 Statistics and Mathematics1 Generative AI and LLMs122 Embeddings13 RAG and Vector Databases47 AI Agents and Tool Calling50 MCP0 Multimodal AI29 LLM Evaluation and Testing27 AI Safety, Ethics, and Responsible AI36 AI System Design41 Fine-Tuning25 AI Infrastructure and Scalability29 LLM Gateways0 Production AI Engineering39 AI Engineering Case Studies15

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39 problems

See how often each question is asked, and which companies asked it.Part of Buncho Pro.Unlock

TitleTopicTypeTimeAsked Companies Level

Not started1.How does token streaming work, and how do you implement streaming for real-time AI applications?Production AI Engineering · Conceptual · 10 min

Asked %

Companies

Production AI Engineering

Conceptual

10 min

Pro feature

Pro feature

Medium

Not started2.Cloud vs on-device model deployment for AI applications: how do you choose?Production AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

Not started3.Explain post-training quantization (PTQ) vs quantization-aware training (QAT). What breaks when you push weights to 2 to 4 bits?Production AI Engineering · Conceptual · 12 minAsked %CompaniesProduction AI EngineeringConceptual12 minPro featurePro featureHard

Not started4.What are prefill and decode in LLM inference, and why is prefill compute-bound while decode is memory-bandwidth-bound?Production AI Engineering · Conceptual · 12 minAsked %CompaniesProduction AI EngineeringConceptual12 minPro featurePro featureHard

Not started5.Your multi-LLM pipeline fails when one model in the chain breaks. How do you handle orchestration failure?Production AI Engineering · Debugging · 12 minAsked %CompaniesProduction AI EngineeringDebugging12 minPro featurePro featureHard

Not started6.What is LLMOps, and how does it differ from traditional MLOps?Production AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

Not started7.What is model quantization, and how does it work?Production AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

Not started8.What is CI/CD for AI applications, and how does it differ from traditional CI/CD?Production AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

Not started9.How does SGLang work?Production AI Engineering · Conceptual · 12 minAsked %CompaniesProduction AI EngineeringConceptual12 minPro featurePro featureHard

Not started10.How do you serve LLMs in production?Production AI Engineering · Conceptual · 12 minAsked %CompaniesProduction AI EngineeringConceptual12 minPro featurePro featureMedium

Not started11.How do you monitor LLM applications in production?Production AI Engineering · Practical exercise · 12 minAsked %CompaniesProduction AI EngineeringPractical exercise12 minPro featurePro featureMedium

Not started12.How does TensorRT-LLM work?Production AI Engineering · Conceptual · 12 minAsked %CompaniesProduction AI EngineeringConceptual12 minPro featurePro featureHard

Not started13.What is the role of feature flags in AI deployments?Production AI Engineering · Conceptual · 8 minAsked %CompaniesProduction AI EngineeringConceptual8 minPro featurePro featureEasy

Not started14.What is semantic routing (LLM routing), and how do you implement it in a multi-model system?Production AI Engineering · Practical exercise · 12 minAsked %CompaniesProduction AI EngineeringPractical exercise12 minPro featurePro featureHard

Not started15.When would you choose vLLM vs SGLang vs TensorRT-LLM (and llama.cpp/Ollama)?Production AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

Not started16.How do you implement A/B testing for LLM systems?Production AI Engineering · Practical exercise · 12 minAsked %CompaniesProduction AI EngineeringPractical exercise12 minPro featurePro featureMedium

Not started17.Your AI system handles 100 requests/sec but crashes at 5,000, or a traffic spike or peak-hour latency brings it down. How do you scale and stabilise it?Production AI Engineering · Debugging · 14 minAsked %CompaniesProduction AI EngineeringDebugging14 minPro featurePro featureHard

Not started18.How do you handle PII and sensitive data in LLM inputs and outputs?Production AI Engineering · Practical exercise · 12 minAsked %CompaniesProduction AI EngineeringPractical exercise12 minPro featurePro featureMedium

Not started19.How does llama.cpp run LLMs on everyday hardware?Production AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

Not started20.Explain the AI product lifecycle from ideation to productionProduction AI Engineering · Conceptual · 10 minAsked %CompaniesProduction AI EngineeringConceptual10 minPro featurePro featureMedium

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