LLMOps & Production AI

• What is LLMOps, and how does it differ from traditional MLOps?Easy
• Explain the AI product lifecycle from ideation to production.Medium
• What is CI/CD for AI applications, and how does it differ from traditional CI/CD?Medium
• What are the key SLAs and metrics for production AI systems?Medium
• Prefill vs DecodeMedium
• How does vLLM work?Medium
• How does SGLang work?Medium
• How do you serve LLMs in production?Medium
• How does Prompt Caching work?Medium
• How does Token Streaming work?Easy
• How do you implement streaming responses for real-time AI applications?Medium
• How do you handle long contexts efficiently in production (context compression, prefix caching)?Medium
• What is model quantization?Medium
• How do you optimize LLM inference costs in production?Medium
• How do you estimate the cost of running an AI-powered feature in production?Medium
• What is semantic routing, and how do you implement it in a multi-model system?Medium
• Cloud vs on-device model deployment for AI applications.Medium
• How do you version and manage prompts in production?Medium
• What is model versioning, and how do you handle model rollbacks?Medium
• How do you handle model updates and migrations without downtime?Medium
• What is the role of feature flags in AI deployments?Medium
• How do you implement A/B testing for LLM systems?Medium
• How do you implement rate limiting and throttling for LLM APIs?Medium
• How do you implement fallback strategies when the primary model is unavailable or rate-limited?Medium
• What is a gateway pattern for LLM API management?Medium
• What is LLM observability?Medium
• How do you monitor LLM applications in production?Medium
• How do you implement logging and tracing for LLM applications?Medium
• What are guardrails for LLMs, and how do you implement them?Medium
• How do you implement content filtering for AI outputs?Medium
• How do you implement structured output from LLMs reliably in production?Hard
• How do you handle PII and sensitive data in LLM inputs and outputs?Medium
• How do you manage secrets and API keys securely in LLM applications?Medium
• Your LLM API has latency spikes during peak hours. How do you stabilize it?Hard
• Your LLM costs are too high in production. How do you reduce costs without degrading quality?Medium
• Your application is hitting LLM provider rate limits during peak hours. How do you handle it?Medium
• Your application depends on one LLM provider. How do you switch providers without downtime?Hard
• Your AI system handles 100 requests/sec but crashes at 5000. How do you scale for concurrent requests?Hard
• A traffic spike brings down your AI system. How do you handle peak traffic?Medium
• One LLM provider outage took down your entire system. How do you eliminate single points of failure?Hard
• Your multi-LLM pipeline fails when one model in the chain breaks. How do you handle orchestration failure?Hard
• Your AI pipeline has zero visibility into which step is failing. How do you add observability?Medium
• You quantized your LLM, but accuracy dropped significantly. How do you minimize quantization loss?Hard
• One failing AI component can take down your entire platform. How do you design graceful degradation?Hard

All AI Engineer topics