EdTech)

Tech9•Lehi, UT

21d•Remote

About The Position

We are partnering with a client seeking a highly skilled Prompt Engineer with deep expertise in LLM systems, structured prompt design, and simulation-driven learning environments. This role sits at the intersection of product, pedagogy, linguistics, psychology, and applied AI — ideal for someone who understands both the creative and technical sides of LLM-powered learning experiences. You’ll collaborate with simulation designers, AI engineers, and learning architects to craft structured prompts, evaluation frameworks, and RAG pipelines that power sophisticated learning simulations and human-interaction scenarios.

Requirements

3+ years of US-based EdTech experience.
1–3+ years in AI/ML or product roles directly involving LLM systems.
Demonstrated expertise designing prompts for production LLMs (OpenAI, Claude, Gemini, etc.).
Strong understanding of RAG architectures, evaluation datasets, and structured outputs (JSON).
Background in linguistics, psychology, learning design, or communication modeling (strong plus).
Ability to bridge creative and technical domains, working effectively with writers, designers, and engineers.
Comfort working in ambiguity, rapidly prototyping, and iterating based on performance data.
Familiarity with learning platforms, behavior modeling, or communication simulations.

Nice To Haves

Experience with simulation platforms or virtual learning environments.
Experience designing psychological rubrics or scenario-based learning journeys.
Exposure to working with voice actors, scriptwriters, or narrative teams.

Responsibilities

Design, structure, and refine high-quality prompts for complex, production LLM environments.
Implement and maintain RAG pipelines, ensuring accurate retrieval and structured JSON outputs.
Build evaluation rubrics, prompt datasets, and testing frameworks to measure output quality and alignment.
Translate learning objectives and human-to-human scenarios into effective prompt-driven AI behaviors.
Serve as the connective tissue between creative teams (simulation designers, instructional writers) and technical AI engineers.
Lead prompt ideation, prototyping, testing, iteration, and deployment.
Apply principles from linguistics, cognitive psychology, learning design, and communication modeling to improve prompt quality.
Contribute to evolving prompt engineering processes, tools, and best practices for scalable delivery.