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.

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