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Junior AI Engineer

Uplift Aerospace
3 hours ago
Full-time
On-site
Provo, Utah, United States
About the Role We’re looking for a Junior AI Engineer to help us improve how our AI systems think, respond, and support learners. This is a part-time, remote role for a Junior AI Engineer working in the EdTech / VR & AR space.

This isn’t a research role. You’ll be building real features that ship to users. Focusing on making AI outputs more accurate, structured, and useful inside interactive learning environments. You’ll have a lot of ownership early on. We’ll give you direction and context, but you should be comfortable figuring things out, running with ideas, and improving systems without constant oversight.

About Us At Uplift Aerospace (Symbol: NRPI) we’re building immersive learning experiences at the intersection of

AI and VR/AR.

Helping students learn in ways that actually stick. Our goal is simple: create tools that make a real difference in how people understand and interact with the world.

What You’ll Work On Improving AI tools used in immersive learning experiences (VR/AR) Designing and refining prompts for better accuracy and consistency Building and maintaining context pipelines (retrieval, embeddings, context handling) Creating structured outputs (JSON, schemas, validation layers) Developing evaluation systems to measure and improve AI quality Analyzing outputs and debugging issues using tracing tools Helping ship end-to-end AI features into production

What You Should Be Comfortable With Writing solid Python (clean, modular code) Git and version control practices Building and working with APIs (FastAPI or similar) Core LLM concepts: Evaluations Prompt engineering RAG (retrieval + embeddings) Tools/agents and function calling Agentic frameworks like Pydantic-AI or LangGraph Working with data and running simple analysis and A/B testing

Bonus Points If You’ve Used LLM tracing/observability tools like Logfire, LangSmith, or Langfuse Docker or similar tools for deploying apps

How You Work You’re self-directed and don’t need step-by-step instructions You can take a goal and figure out how to execute You’re comfortable experimenting, measuring results, and iterating You care about building things that actually help users

Why This Role Is Interesting You’ll work on

AI products that directly impacts how students learn You’ll gain real experience building and shipping AI systems—not just prototypes You’ll have meaningful ownership early and see your work in production

If you’re excited about AI, education, and building things that matter, we’d love to hear from you.

Salary Range $35-45/hr

Expected Part-Time Hours 20-25 hours per week.