AI Engineer / Specialist (m/f/d)

Job description

Design, develop, and deploy end-to-end AI solutions, from proof of concept to production. Develop generative AI applications, AI agents, and RAG solutions using state-of-the-art technologies. Integrate AI solutions into existing business processes and systems using APIs, cloud services, and automation technologies. Prepare and analyze structured and unstructured data using Python and SQL and ensure appropriate data quality. Evaluate AI models, tools, and technologies regarding business value, performance, scalability, security, and cost. Collaborate with business and IT teams to identify requirements and translate them into scalable technical solutions. Continuously monitor and improve the quality, reliability, and performance of deployed AI solutions. Ensure compliance with GDPR, the EU AI Act, information security requirements, and internal AI governance standards. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Business Informatics, or a related field. Practical experience in AI/ML Engineering, Generative AI, or AI application development. Strong knowledge of Python and experience with SQL and APIs. Hands-on experience with LLMs, RAG, Prompt Engineering, and/or AI agents. Experience with cloud technologies, ideally Microsoft Azure and Azure OpenAI. Understanding of modern software development practices, including Git, APIs, and application architectures. Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Proactive, structured, and collaborative way of working. Very good English skills; German is a plus. You don’t meet every requirement? No problem. We believe that skills, potential, and motivation matter just as much as ticking every box. If you are passionate about AI and believe you can make an impact at REPA, we would be happy to hear from you. In addition to a secure job in an internationally successful, fast-growing and family-friendly group of companies, you can also expect: Attractive remuneration package (split into 13 salaries) 30 days vacation Hybrid working model with flexible working hours and flexitime account in a 40-hour week Company pension scheme Canteen with subsidized lunch Team member appreciation Individual training and development opportunities Casual dress code Regular employee events Employees recruit employees-bonus Corporate benefits Job ticket Free employee parking spaces All the traditional benefits like health insurance, paid time away while you re-energize – don’t worry, we’ve got you covered REPA welcomes diversity and is an equal opportunities employer. All qualified applicants are considered regardless of race, religion, skin color, national origin, gender, age, sexual orientation, gender identity or disability. Do you have questions? We will be happy to answer them! Please send an e-mail to Nadine : . Have we sparked your interest? Then apply today! We look forward to receiving your online application. :-) We are REPA Deutschland GmbH , part of the REPA Group - Europe's leading distributor of spare parts for the catering industry, commercial kitchens, refrigeration technology and more. With over 95,000 items from more than 2,000 manufacturers, we offer the largest range on the market. Our 6 warehouses in Europe, 9 locations and over 1,000 employees guarantee fast and reliable service. Our affiliation with Parts Town , the American market leader in high-tech spare parts distribution, gives us even more power. Together we ensure that everything runs smoothly - whether it's a coffee machine, refrigerator or combi-steamer.We are accelerating our digital transformation by leveraging Artificial Intelligence, automation, and data-driven decision making. Work location: Bergkirchen (relocating to Unterschleißheim at the end of 2027) As an AI Engineer / Specialist, you will be part of REPA’s AI & Innovation team and help turn AI opportunities into scalable, secure, and business-ready solutions. You will design, develop, integrate, and continuously improve AI solutions across the organization – from initial prototypes and proof-of-concepts to productive applications. Working closely with business functions, IT, data teams, and external technology partners, you will translate business requirements into practical AI solutions that create measurable value.