Senior prompt engineer expertise for LLM and agentic systems

ai-tooling

senior-prompt-engineer brings senior-level prompt engineering expertise to Claude Code for LLM optimization, agentic system design, and production AI product development. It covers advanced prompting patterns, few-shot learning, chain-of-thought reasoning, RAG optimization, and LLM evaluation frameworks, backed by reference guides in `references/` and three automation scripts: `prompt_optimizer.py`, `rag_evaluator.py`, and `agent_orchestrator.py`. The supported stack includes LangChain, LlamaIndex, DSPy, PyTorch, MLflow, Pinecone, and cloud platforms AWS/GCP/Azure. Teams building production AI systems, tuning Claude or GPT-4 performance, designing multi-agent pipelines, or implementing MLOps practices such as drift monitoring, A/B testing, and automated retraining will find the most value here.