AI Engineer

We're designing an AI landscape for intelligent, autonomous systems that support real-world business processes at scale. From semantic search and retrieval-augmented generation (RAG) to context-aware agents and multi-agent orchestration - you'll be at the forefront of shaping how AI transforms enterprise software., * Re-think processes: Based on your AI Experience, re-think current processes in an AI centric way. Provide guidance and prototype how to apply LLMs and agentic approaches to revolutionize current supply chain processes

• Evangelize AI capabilities: Provide guidance to other platform teams in terms of AI applications and LLM capabilities
• Develop scalable agent capabilities - from reasoning and task planning to tool use and long-term memory
• Shape the AI infrastructure layer that enables orchestration across services, APIs, and events
• Prototype and iterate on system components such as agent runtimes, orchestration logic, context storage, tool interfaces, and messaging layers
• Collaborate with platform teams to integrate your work into our enterprise-scale Azure environment
• Contribute to architecture and design guidelines for deploying LLM-based and agent-enhanced systems in production
• Stay ahead of the curve on frameworks, language models, design patterns, and other AI technologies - and help the team adopt the best-fitting ones

• Experience with AI/LLM system architecture, ideally with agentic or orchestrated workflows
• Proven experience designing LLM centric use cases and processes, ideally with agentic or orchestrated workflows
• Strong programming skills in Python and optionally C#/Java, and the ability to work across backend infrastructure and prototyping layers
• Familiarity with modern agent and orchestration frameworks, such as Semantic Kernel, N8N, AutoGen, LangGraph - or other frameworks or custom-built solutions
• Understanding of concepts like semantic search, vector data basis, RAG, tool calling, long-term memory, identity and role modeling, and execution planning
• State of the art knowledge about MCP (model context protocol) and multi-agent orchestration
• Experience working in Microsoft Azure environments (e.g. Azure AI Studio, Functions, Event Grid, Cosmos DB, AKS, Microsoft AI Search etc.) is a plus
• Strategic/architectural thinking and a modular mindset - you know how to design performant and effective systems
• Strong communication skills and the ability to align teams and stakeholders around architectural direction

We LOVE TO LEAD! For us, leadership not only defines positions, but is a shared attitude that involves every person. We invite individuals across hierarchies to develop themselves within our leadership culture, fostering a future-oriented, dedicated, and sustainable approach, just as we do. Our five leadership values Innovation, Co-Creation, Long-term Thinking, Customer Value and Self-Development are the compass that guides us.

What you can expect from us

• A key role in defining and shaping the AI strategy at SupplyOn
• High autonomy and influence over architectural decisions, frameworks, and direction
• A leadership culture built on five core values: Innovation, Co-Creation, Long-Term Thinking, Customer Value, and Self-Development
• Cross-functional collaboration with product managers, developers, and AI specialists
• Strong focus on your personal and professional development, with targeted training, internal learning communities, and exciting challenges
• Flat hierarchies and short decision paths in an environment that values real impact
• Flexible working hours and hybrid models

SupplyOn develops and operates the world's leading supply chain collaboration platform for the automotive, manufacturing and aerospace industries. Our unique global business network connects over 70% of the world's major manufacturing companies. Through our comprehensive solution portfolio, we cover all business processes at the interface between a company and its business partners such as suppliers, service providers and freight forwarders. We are a joint venture of Bosch, Continental, ZF and Schaeffler. Digital ecosystems are becoming increasingly important for taking collaboration between business partners to a whole new level. Our solution forms the ideal basis for making supply chains resilient, future-proof and sustainable. At SupplyOn we live a culture of acceptance and openness. Regardless of cultural background, ethnicity, origin, sexual orientation or gender identity, we offer our employees a working environment in which we learn from and grow with each other through diversity of thought and experience. Let's get to know each other!We focus on real dialogue! We want to get to know you as a person and understand what is important to you. At the same time, you will have the opportunity to put us to the test.Our introductory process consists of three interviews:First interview (30 minutes): Together with our recruiting team, we clarify initial questions, talk about expectations and check whether we are a good cultural fit.Two further interviews: Here you will get to know your potential manager and future team colleagues. At least one of these interviews will take place on site so that you can get a first-hand impression of our working environment and our teams. All our interviews are conducted on an equal footing. We want you to feel comfortable and have enough time to ask questions.We look forward to meeting you! What questions do you have?