Build the AI-native energy supplier of the future

Energy markets are volatile, complex, and still running on outdated systems. At Zeus Energy, we are creating the first AI-native full-stack energy supplier—a digital-first platform that helps businesses buy, manage, and optimize their energy with intelligence, speed, and transparency.

We are backed by Merantix, Europe’s leading AI venture studio. Joining Zeus at this early stage, you’ll take ownership from day one while benefiting from the resources, network, and stability of a proven venture platform.

We are looking for a Fullstack Engineer who wants to make a real impact by building our MVP and shaping our core technology:

• Build features end-to-end across frontend (React/Next.js), backend (Node.js/TypeScript), and database (PostgreSQL)

• Design scalable architecture in a modern monorepo setup

• Collaborate directly with founders, product, and early customers

• Debug, refactor, and iterate quickly to keep our platform robust and fast

• Take responsibility for technical decisions that set the foundation for scal

• 2+ years of experience building production-grade fullstack applications

• Strong skills in Node.js and TypeScript

• Proficient with modern frontend frameworks (React, Next.js)

• Solid database knowledge (PostgreSQL or similar)

• Comfortable working across the full stack and eager to take ownership

• Pragmatic, solution-driven, and motivated by solving real-world problems in energy and climate

• Fluent in English (our team language); German a plus

• Expertise in workflow automation and agent frameworks (e.g., n8n, LangGraph) is a strong asset

• Impact: Build the foundation of an AI-native energy supplier at a decisive stage

• Stability: Backed by Merantix’s venture studio and AI ecosystem

• Growth: Direct exposure to startup building, AI adoption, and energy markets

• Culture: Small, ambitious team with ownership, speed, and collaboration

• Tech: Greenfield setup with modern stack—minimal tech debt

• Compensation: Competitive salary + ESOP participation

• Work model: Based at the AI Campus Berlin; hybrid flexibility possible