Prompt Engineer

3+ years of US based Ed Tech experience. 1–3+ years of experience in AI/ML or product-related roles, with direct experience working on LLM systems. Demonstrated expertise designing prompts in production-grade LLM environments (e.g., OpenAI, Claude, etc.). Strong understanding of RAG architecture, evaluation databases, and structured output formats such as JSON. Ability to work in ambiguity, rapidly prototype, and refine based on prompt performance data.

Design, structure, and refine prompts for complex LLM production environments. Implement and manage retrieval-augmented generation (RAG) pipelines using JSON-based structured outputs. Develop and maintain evaluation rubrics and prompt testing datasets to measure LLM output quality and alignment. Translate abstract learning objectives and human-to-human interaction scenarios into effective prompt-driven AI behavior. Act as a strategic liaison between creative simulation teams and technical AI engineers, helping ensure narrative fidelity and technical precision. Guide the iterative prompt development process from ideation through implementation, grounded in psychological and communication-based rubrics. Contribute to the evolution of prompt engineering processes, tools, and best practices for scalable, production-level deployment.