Work as one of a two-person intern team extending our internal inventory-management app and the IoT/robotics layer around it: LLM-driven anomaly detection, automated reorder, agentic purchasing, and sensor/RFID integration for receiving and tracking.
Extend the existing inventory-management app — automated reorder, price-trend awareness, and richer LLM-driven anomaly detection beyond today's rule-based alerts.
Build on the live RFID/MQTT + receiving pipeline; add IoT sensing and wire new device data into the platform.
Prototype agentic purchasing / reorder automation using LLM-driven workflows.
Explore a drivable RFID scanner (robotics/IoT) for automated stock-taking — build toward a working demonstrator.
During onboarding, read and improve existing internal apps (real platform improvements, not throwaway exercises).
Pursuing a CS / software-engineering / EE / robotics (or closely related) degree.
Strong programming fundamentals; comfortable in Python
Genuine interest in hardware / IoT / robotics alongside software.
Comfortable with Git and collaborative development.
Hands-on IoT / embedded / microcontroller experience.
RFID, sensors, or robotics / mechatronics exposure.
LLM / AI-API experience.
Scrappy hardware-hacker instinct; comfortable building physical demonstrators.
Exowatt is a next generation renewable energy company offering commercial and industrial customers a modular full-stack energy solution that can provide dispatchable power and heat for up to 24 hours per day, specifically designed to meet the needs of energy-intensive applications such as data centers. Our mission is clear, to make sustainable renewable energy always available and almost free.
