About the role
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset-intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple-digit-million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial-grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. The Tech team will allow you to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems and being exposed to commercial. The Tech Stack : Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), AWS, GitHub Actions, Node.js , Java 21 (Spring Boot 3), Postgres, Kinesis, Terraform, Typescript, NextJS, React. What you will do Design, develop, test, deploy, and maintain backend services that integrate AI/ML capabilities into our products. Build clean, maintainable, and reusable code with a focus on scalability and performance. Develop and optimize APIs that power AI-driven features. Collaborate with frontend engineers to connect user-facing experiences with AI-enabled backend logic. Implement and improve distributed systems and data pipelines. Work with LLM APIs (OpenAI, etc.) to build intelligent workflows and automation. Participate in code reviews, knowledge-sharing sessions, and architecture discussions. Stay current with emerging AI technologies and backend best practices.
