About the Role

We are looking for curious, hands-on interns to work at the intersection of two exciting problem spaces: building AI agents that automate real workflows in the manufacturing industry, and creating AI-powered visual learning experiences that help primary school children truly understand concepts — not just memorize them. You will work directly with the founding team, ship real features to real users, and see the impact of your work in factories and classrooms alike.

What You Will Do
- Design and build AI agents (using LLMs, tool-calling, and agentic frameworks) that automate manufacturing workflows such as production reporting, quality checks, maintenance logs, and inventory queries.
- Integrate agents with real-world data sources — spreadsheets, ERP/MES exports, sensor data, and documents — and make them reliable enough for daily factory use.
- Prototype interactive, visual explanations of primary-level concepts (math, science, language) using animations, simulations, storytelling, and AI-generated visuals.
- Test learning experiences with real kids and teachers,



observe what clicks, and iterate quickly.
- Evaluate and improve agent quality: prompt design, evals, guardrails, and cost/latency trade-offs.
- Document what you build so others can extend it.

What We Are Looking For
- Students or recent graduates in CS, engineering, design, or education technology — or self-taught builders with projects to show.
- Hands-on experience with Python or JavaScript/TypeScript; familiarity with LLM APIs (Claude, GPT, etc.) is a strong plus.
- Exposure to agent frameworks, RAG, or prompt engineering — or the ability to learn them rapid.
- For the education side: an eye for visual design, animation, or interactive front-ends (React, HTML canvas, or similar), and the patience to explain things simply.
- A bias for shipping: you would rather build a rough working demo this week than a perfect plan next month.
- Empathy for non-technical users — factory supervisors a

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