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Prompt Engineer (LLMs RAG EdTech) at Tech9
Tech9
Lehi, UT
Engineering
Posted 0 days ago
Job Description
Prompt Engineer (LLMs / RAG / EdTech)Why Tech9Tech9 is shaking up a 20-year-old industry and were not slowing down. Recognized by Inc. 5000 as one of the nations fastest-growing companies ranked #23 among Utahs fastest-growing companies and named one of Forbes Top 500 Startup Companies to Work For (two years running) were 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 youve been looking for.About the RoleWe 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.Youll 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.ResponsibilitiesDesign 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 Qualifications3 years of US-based EdTech experience.13 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 HaveExperience 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 Youll Love About Tech9At 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 ProcessOur 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 ambiguity3. 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-RemoteTo ensure youve received our notifications please whitelist the domains and Required Experience:Senior IC Key Skills ASP.NET,Health Education,Fashion Designing,Fiber,Investigation Employment Type : Full-Time Experience: years Vacancy: 1
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