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About the Role

As an Applied AI/ML Engineer, you will bring modern AI technologies into productive applications. You will develop robust, scalable, and responsibly usable AI solutions to strengthen our leadership in Fashion & Lifestyle as an international omnichannel department store.

Responsibilities

• Develop AI-powered applications and workflows from idea to productive deployment, making pragmatic decisions between application quality, latency, reliability, and cost.
• Integrate Large Language Models, MCPs/APIs, RAG approaches, and automations into existing products and processes, learning continuously from real user signals.
• Build reliable AI/ML pipelines and support evaluation, monitoring, and quality assurance.
• Collaborate closely with Data Scientists, Cloud Engineers, Product Owners, and business departments to create measurable value from AI technologies and shape future technical direction.

Requirements

• Completed studies or comparable experience in Computer Science, Data Science, Mathematics, Business Informatics, or a similar technical field.
• Proficient knowledge of Python and ability to create complex database queries with SQL.
• Experience in developing and operationalizing ML or GenAI solutions.
• Cloud and MLOps experience (e.g., with GCP or MLflow) and proficient use of Python for data preparation, evaluation, and ML fundamentals.
• Proficiency with GenAI approaches such as LLMs, RAG, LangChain/LangGraph, and AI APIs and LLM-based pipelines.
• Good understanding of AI solution architecture.
• Solution-oriented, pragmatic, and user-centric mindset, aiming to effectively implement AI in products and processes.
• Familiarity with agile working methods and enjoyment of interdisciplinary collaboration.
• Fluent English language skills; German language skills are an advantage.

Skills

• Python
• SQL
• MLOps
• GCP
• MLflow
• GenAI
• LLMs
• RAG
• LangChain
• LangGraph
• AI APIs
• Agile methodologies

Location

• Germany

Work Type

• Mobile working
• Hybrid

Experience Level

• Professional

Education Level

• Degree in Computer Science, Data Science, Mathematics, Business Informatics, or similar technical field
• Comparable experience

Benefits

• Voluntary holiday and Christmas bonus
• Contributions to company pension scheme
• 30% employee discount (also for partner)
• Discounts in gastronomy and at the hairdresser
• Additional vacation days starting from the 5th year of employment
• Subsidy for Urban Sports membership
• Training and leadership programs
• Workation available (up to 30 calendar days per year in selected European countries)
• Additional vacation days via salary conversion
• Sabbatical option
• Company Bike leasing (for desired bike or e-bike)

About the Company

• Breuninger is a fashion and lifestyle company with 6,500 employees, operating 13 department stores and online shops in multiple European countries.
• We offer over 2,000 brands, 25 restaurants & confiseries, 15 premium services, and three hair salons, providing a special shopping experience.
• We are a traditional company with international reach, clear goals, and a focus on creating innovative opportunities.
• The Data Platform Services team works at the intersection of data, technology, and business, enabling AI solutions to be implemented quickly, securely, and effectively.