ai-engineering

Design, train, optimize, deploy, and evaluate production machine learning and LLM systems. Use when building ML models, training classifiers, fine-tuning LLMs with LoRA/PEFT, deploying low-latency inference endpoints, architecting vector RAG pipelines, or evaluating model bias and data leakage — even if they don't explicitly say "AI engineering". Do NOT use for standard backend CRUD development, basic SQL queries without ML, or simple UI styling.