About Us :We are a team of 100+ specialists, innovators, and creative minds who have turned passion into profession. We develop open-source-driven software that challenges the status quo, aiming to shape the future with our customers through cutting-edge software and AI solutions. Leveraging state-of-the-art technologies and agile methods, we deliver intelligent, custom solutions that drive digitalization and keep our clients ahead in a fast-changing landscape. Our offerings include full-stack development, with flagship products like a chatbot for digital assistants and an integrated video platform for e-learning, alongside tailored software and AI engineering services.Live Projects :We're launching the Sparkassen-KIPilot—a cutting-edge AI assistant that boosts productivity by automating tasks, analyzing data, and generating customer communications for Sparkassen employees.Key Responsibilities :Lead the design and development of advanced AI solutions in collaboration with our highly skilled AI team, driving innovation across both internal product initiatives and bespoke client projects.Own and architect end-to-end systems that blend DevOps principles, scalable Python backend services, and cutting-edge machine learning technologies to deliver robust AI-powered applications.Provide technical leadership in NLP and LLM development, while also contributing to broader domains such as computer vision and multimodal AI, helping shape our R&D roadmap.Collaborate closely with cross-functional teams and stakeholders, acting as a key liaison between AI, product, and engineering teams to ensure alignment with business objectives and delivery excellence.Design and implement pipelines for processing and leveraging large-scale datasets, optimizing for performance, scalability, and downstream ML / AI use cases.Champion innovation by proposing, prototyping, and iterating on new AI approaches, both independently and within the team, fostering a culture of continuous improvement and technical excellence.What You Bring :Degree in (business) informatics, Computer Science, Software Engineering or related field.Experience as a software or AI engineerStrong organizational skills, attention to detail, and reliability.Fluent in German and English.What We Offer :Training : Continuous learning and professional development opportunities.Flexible Working Hours : Work at times that suit you best.Mobile Working : Choose between working on campus or from home. #J-18808-Ljbffr