Role Overview
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. 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.
Responsibilities
- Design and build AI agents using LLMs, tool-calling, and agentic frameworks to automate manufacturing workflows.
- Integrate agents with real-world data sources such as spreadsheets, ERP/MES exports, and sensor data.
- Prototype interactive, visual explanations of primary-level concepts using animations and AI-generated visuals.
- Test learning experiences with real users and iterate quickly based on observations.
- Evaluate and improve agent quality through prompt design, evals, and guardrails.
- Document all builds to ensure scalability.
Requirements
- Students or recent graduates in CS, engineering, design, or education technology.
- Hands-on experience with Python or JavaScript/TypeScript.
- Familiarity with LLM APIs (Claude, GPT, etc.).
- Exposure to agent frameworks, RAG, or prompt engineering.
- An eye for visual design, animation, or interactive front-ends like React.
- A bias for shipping and empathy for non-technical users.
Nice to Have
- Prior projects involving chatbots, agents, or business workflow automation.
- Experience creating educational content or teaching kids.
- Familiarity with manufacturing, IoT, or industrial data.
- Skills in Figma, motion graphics, or game-style interactive design.
Skills
- Python
- JavaScript/TypeScript
- LLM APIs
- React
- Prompt Engineering
Benefits
- Real ownership of features that ship to production.
- Direct mentorship from the founding team.
- Certificate, letter of recommendation, and a strong portfolio.
- Possibility of a full-time offer based on performance.
- Stipend provided.