Tech9

Compensation

Full Description

Prompt Engineer (LLMs / RAG / EdTech) Why Tech9 Tech9 is shaking up a 20-year-old industry — and we’re not slowing down. Recognized by Inc. 5000 as one of the nation’s fastest-growing companies, ranked #23 among Utah’s fastest-growing companies, and named one of Forbes’ Top 500 Startup Companies to Work For (two years running), we’re redefining what it means to build world-class software and AI-driven solutions. We invite you to interview with us, show us what you can do, and discover how Tech9 can give you the AI-forward career opportunity you’ve been looking for. About the Role 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. 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. Minimum Qualifications 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 Have 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. What You’ll Love About Tech9 At Tech9, we prioritize freedom, flexibility, and craftsmanship. When you join us, you can expect: Opportunities to work on meaningful, cutting-edge AI experiences. Autonomy to shape prompt design and AI behavior. A collaborative, supportive environment with talented teammates. No unnecessary bureaucracy — just what you need to succeed. Interview Process Our interview process moves efficiently while ensuring clarity and alignment: 1. Introductory Call- Quick conversation with our recruiting team to understand background and alignment. 2. On-Demand HireVue Screening- Behavioral and situational questions to learn how you communicate and work through ambiguity 3. Internal Technical Interview- Deep dive into prompt engineering fundamentals, LLM design patterns, RAG reasoning, and structured output thinking. 4. Client Technical Interview #1- Scenario-based problem solving focused on LLM behavior shaping, evaluation methods, and simulation logic. 5. Client Technical Interview #2- Applied technical discussion on RAG pipelines, structured prompts, and real-world production examples. 6. Client Culture Fit Interview- Conversation with client stakeholders to ensure team alignment, collaboration style, and communication fit. (Additional steps may be added if needed.) #US #LI-Remote To ensure you've received our notifications, please whitelist the domains jazz.co, jazz.com, and applytojob.com