Senior Prompt Engineer

This one's for when you're building production AI systems and need expert-level guidance on prompt optimization, RAG evaluation, or agentic workflows. It covers the full stack from advanced prompting patterns and chain-of-thought techniques to LLM evaluation frameworks and agent orchestration. The references include concrete patterns for structured outputs, few-shot learning, and system design. Honestly, the boilerplate MLOps content feels generic, but the core prompt engineering and agent design expertise is solid. Use it when you're past the basics and need to optimize LLM performance at scale or architect multi-agent systems that actually work in production.