Senior Prompt Engineer

About

Empowers Claude with the expertise of a world-class prompt engineer to build production-grade AI systems and complex LLM-powered applications. It provides deep technical guidance on retrieval-augmented generation (RAG) strategies, multi-agent design patterns, and rigorous evaluation metrics to ensure high-quality outputs. Whether implementing advanced reasoning techniques like Chain-of-Thought or fine-tuning chunking strategies for vector databases, this skill offers the implementation patterns and best practices needed to move AI projects from prototype to production with optimal performance and cost-efficiency.

Key Features

• Guidance on structured outputs, function calling, and schema validation for production systems.
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• Optimization of prompting techniques such as Chain-of-Thought, Few-Shot learning, and Tree-of-Thought.
• Advanced RAG architecture implementation including hybrid, hierarchical, and agentic patterns.
• Standardized LLM evaluation frameworks using metrics like Recall@K, MRR, and NDCG.
• Multi-agent orchestration and tool-use design patterns for complex autonomous workflows.

Use Cases

• Developing complex agentic systems that require multi-step reasoning and tool integration.
• Designing and optimizing high-performance Retrieval-Augmented Generation (RAG) pipelines.
• Benchmarking and improving LLM response quality through structured evaluation and prompt tuning.