senior-prompt-engineer
Expert guidance on prompt optimization, LLM evaluation, and agentic system design for production AI applications.
- Covers advanced prompt engineering patterns, few-shot learning, chain-of-thought techniques, and structured output design for Claude, GPT-4, and other LLMs
- Includes RAG optimization frameworks, LLM evaluation methodologies, and performance tuning strategies with reference documentation
- Provides agentic system design principles, multi-agent orchestration patterns, and deployment best practices for distributed inference
- Supports MLOps workflows with integration guidance for LangChain, LlamaIndex, DSPy, and monitoring tools like MLflow and Weights & Biases
Senior Prompt Engineer
World-class senior prompt engineer skill for production-grade AI/ML/Data systems.
Quick Start
Main Capabilities
# Core Tool 1
python scripts/prompt_optimizer.py --input data/ --output results/
# Core Tool 2
python scripts/rag_evaluator.py --target project/ --analyze
# Core Tool 3
python scripts/agent_orchestrator.py --config config.yaml --deploy
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