Prompt Engineer

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.