• Build customer-specific software solutions • Design, develop, and maintain backend services using Python and FastAPI • Implement REST APIs and microservices supporting AI-driven engineering workflows • Extend existing platform applications with customer-specific integrations and services • Implement background workers, data processing pipelines, and model inference integrations • Design system architectures and technical solutions that integrate customer environments with the platform • Translate complex engineering workflows into robust, scalable software systems • Deploy and operate services using Docker and Kubernetes • Work directly with customers to understand technical workflows and constraints • Rapidly iterate on solutions based on real-world usage and feedback

• Architect & build across the stack. • Collaborate with customers. • Tackle a wide breadth of engineering challenges. • AI/ML Integration: Productionize LLMs and classical ML models. • Data Engineering: Build pipelines and infrastructure for ingesting, normalizing, and querying massive datasets. • Shape Clipbook's engineering culture.

• Responsible for the development and implementation of complex requirements to support customers in the circular economy and energy supply. • Technical execution of complex projects and optimization of existing processes. • Collaboration within a product team or individual customization of the software in customer projects.

• Responsible for the development and implementation of complex requirements. • Decide within the product team whether to work on the core product or to implement customizations of the software in customer projects. • Ensure that the code is optimally tailored to the requirements of our customers. • Optimize existing processes to deliver efficient and sustainable solutions. • Support and mentor junior and professional developers and ensure high project quality through code reviews and process improvements.