Senior Prompt Engineer

关于

This skill empowers developers to build sophisticated, production-ready AI applications by providing expert guidance on prompt design, RAG optimization, and agentic system architecture. It covers high-level strategies such as few-shot learning and chain-of-thought processing alongside practical implementation details for MLOps, model deployment, and real-time inference. Whether you are scaling data processing pipelines or architecting multi-agent systems, this skill ensures your LLM implementations meet enterprise standards for latency, security, and cost-efficiency.

主要功能

• Provides comprehensive frameworks for LLM evaluation and performance tuning.
• Establishes production-grade MLOps best practices for model deployment and monitoring.
• 310 GitHub stars
• Optimizes LLM system architecture for high-throughput, low-latency performance.
• Guides the architectural design of scalable agentic systems and RAG pipelines.
• Implements advanced prompt design patterns including few-shot learning and chain-of-thought.

使用场景

• Building enterprise-grade AI products with structured outputs and high reliability.
• Optimizing LLM performance and costs through advanced prompting and RAG techniques.
• Designing and deploying complex agentic workflows and automated AI systems.