Senior Prompt Engineer

World-class prompt engineering skill for LLM optimization, agentic systems, and AI product development.

Overview

The Senior Prompt Engineer skill provides comprehensive frameworks, tools, and best practices for building production-grade AI applications with large language models. This skill covers advanced prompting techniques, RAG system optimization, agentic workflows, and LLM evaluation methodologies used by leading AI engineering teams.

Designed for senior engineers building AI products, this skill includes proven patterns for Claude and GPT-4, structured output generation, chain-of-thought reasoning, few-shot learning, and agent orchestration. All content is production-focused with real-world examples from high-scale AI systems.

Core Value: Build reliable, high-performance AI applications using advanced prompt engineering, RAG optimization, and agentic architectures that scale to millions of users.

Core Capabilities

• Advanced Prompt Patterns - Chain-of-thought, few-shot learning, structured outputs, role-based prompting, and meta-prompting techniques
• RAG System Optimization - Retrieval strategies, chunking algorithms, embedding models, vector database optimization, and relevance scoring
• Agentic Workflows - Multi-agent orchestration, tool calling, state management, error handling, and agent evaluation frameworks
• LLM Evaluation - Metrics design, benchmark creation, human-in-the-loop evaluation, A/B testing, and performance monitoring
• Production Best Practices - Prompt versioning, cost optimization, latency reduction, failover strategies, and observability