Prompt Engineer (LLMs / RAG / EdTech)

Why Tech9
Tech9 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 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.
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.

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.
• 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 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 Youll 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.

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