Prompt Engineer

• Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations. • Hands-on experience with OpenAI APIs, Azure OpenAI, AWS Bedrock, Anthropic, LangChain, LlamaIndex, Semantic Kernel, Copilot Studio, or similar platforms. • Ability to debug LLM outputs using structured testing, error analysis, and iterative refinement. • Strong writing, analytical, communication, and stakeholder-management skills. • Understanding of prompt-security risks including prompt injection, jailbreaks, data leakage, hallucination, and instruction conflicts. • Ability to create repeatable prompt templates and evaluation evidence suitable for enterprise governance.