Mursion Inc

Compensation

Full Description

Role Overview We are working with a client who needs a strong Prompt Engineer with a deep understanding of LLM (Large Language Model) systems, structured prompt design, and simulation-driven learning environments. This role requires a unique blend of product thinking, linguistic strategy, and experience with AI systems in production. You’ll collaborate cross-functionally with simulation designers, AI engineers, and learning architects to create highly structured, effective prompts for real-world learning scenarios. Key Responsibilities 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. What You Bring 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. Background in linguistics, psychology, learning design, or communication modeling is a strong plus. Experience bridging creative and technical domains — able to work fluently with both instructional designers and engineers. Ability to work in ambiguity, rapidly prototype, and refine based on prompt performance data. Familiarity with learning experience platforms, human behavior modeling, or communication skill simulations is a bonus. Nice to Have Experience working in simulation platforms, education tech, or virtual learning environments. Exposure to psychological rubric design and scenario-based learning journeys. Prior collaboration with voice actors, artists, or simulation scriptwriters.