Prompt Engineer
New York, NY, USA
Posted on Nov 6, 2026
- 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.