Full-Stack Developer (.NET, React, Python, AI / ML)

Einleitung At Relofair, we’re on a mission to transform the global moving and logistics industry through innovative, AI-driven technology. By integrating sales, dispatching, and routing into a seamless platform, we make the moving process smarter, faster, and more sustainable—ensuring a smooth and hassle-free experience for both end customers and our partner companies. Our flagship tools include ReloAI , an AI-powered chatbot, and our dynamic marketplace platform. These tools work together to automate key logistics processes, but now we’re ready to take things to the next level. We’re looking for a Full-Stack Developer to help merge and enhance these products, shaping them into a unified, global SaaS platform. In this role, you’ll work directly with our CPO and Co-Founder, Felix Bussmann , in an environment that values initiative, creativity, and collaboration. This is more than a coding job — it’s an opportunity to tackle real-world challenges and make a meaningful impact. Aufgaben What You’ll Do : Integrate and Innovate : Connect our chatbot, ReloAI , with our marketplace platform to create a unified solution for sales, dispatching, and routing. Develop and Scale : Build and maintain backend systems using .NET , and create modern, user-friendly interfaces with React . Drive AI Adoption : Leverage AI / ML to enhance automation, optimize freight matching, and improve platform decision-making. Collaborate on Architecture : Work closely with the leadership team to design scalable, flexible systems that address business needs. Implement Integrations : Develop connections with third-party tools like Salesforce , WhatsApp , and Zapier , or recommend alternatives that fit the business. Champion Sustainability : Contribute to features that improve efficiency and reduce environmental impact through smart logistics solutions. Analyze and Optimize : Use tools like Power BI , Azure , or similar platforms to visualize data and ensure peak platform performance. Be Agile : Use Kanban or Scrum methodologies to manage projects and align with company OKRs. Qualifikation What We’re Looking For : 5+ years of backend development experience , with a strong track record in building scalable systems. Expertise in .NET (C#) for backend and React for frontend development. Proficiency in Python , JavaScript , and integrating large language models (LLMs) via APIs. Familiarity with tools like Power BI , SQL databases , and cloud platforms such as Azure or Google Cloud (or similar). Experience with agile methodologies (e.g., Kanban, Scrum) and aligning work to OKRs . Proven ability to integrate APIs and work with tools like Salesforce , Zapier , WhatsApp and Webflow . A passion for solving real-world problems with innovative, user-focused technology. Initiative and creativity to recommend and implement solutions that improve the platform’s setup and scalability. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. What We Value : Adaptability : Comfortable working in a startup environment with evolving priorities. Sustainability Focus : Motivated by opportunities to reduce environmental impact through smart logistics. Collaboration : Excels at working closely with leadership and cross-functional teams. Big-Picture Thinking : Understands how to align technical solutions with business goals. Benefits Why Join Relofair? Work on meaningful, real-world problems in logistics and sustainability. Collaborate directly with leadership to shape the future of our platform. Be part of a forward-thinking, AI-driven company that values innovation and creativity. Enjoy a flexible, remote-friendly culture with competitive compensation and the potential for equity. Noch ein paar Worte zum Schluss What the Hiring Process Looks Like : Initial Interview : Discuss your experience, goals, and learn more about Relofair. Coding Test : Demonstrate your technical abilities through a practical exercise. Case Study : Tackle a real-world challenge related to our platform and systems. Final Interview : Meet the team, align expectations, and discuss next steps.