It's more than a job
In this IT role, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel’s global systems and operations. This contribution is vital to making both special and ordinary moments in the lives of people a reality. In fact, your work enables our teams to deliver fresh fruit, time-sensitive healthcare products and much more to people all around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine.
As an Agentic AI Engineer (m/f/d), you will be responsible for designing, building, and optimizing autonomous AI agents that improve decision-making, automate workflows, and integrate with key logistics systems across our Sea Logistics organization. You will play a key role in driving intelligent automation while ensuring that AI solutions are safe, reliable, scalable, and practical for real-world business operations.
How you create impact
- Design and develop autonomous AI agents with reasoning, planning, decision-making, and task-execution capabilities.
- Build agentic AI solutions using frameworks such as LangChain, AutoGPT, CrewAI, ReAct, or custom architectures.
- Integrate AI agents with enterprise systems, including TMS, ERP, CRM, WMS, APIs, databases, and event-driven platforms.
- Build safety and control mechanisms, including guardrails, validation layers, fallback logic, and human-in-the-loop processes.
- Develop monitoring, logging, and explainability capabilities to ensure transparency, reliability, and compliance.
- Optimize and validate agent performance for accuracy, reliability, latency, and operational cost through benchmarking and real-world scenario testing.
- Identify and prototype new agentic AI use cases across customer service, operations, planning, and reporting.
- Collaborate across teams to translate business needs into scalable technical architectures and automation solutions.
What we would like you to bring
- 3+ years of experience building agentic AI systems and integrating them with enterprise APIs, databases, and business or logistics platforms.
- Strong Python engineering skills and experience working with at least one major cloud platform, such as AWS, Azure, or GCP.
- Strong understanding of modern AI technologies, including RAG pipelines, prompt engineering, model tuning, and LLM orchestration.
- Experience with AI workflow automation and risk management, including guardrails, validation layers, fallback mechanisms, and other safety controls.
- Familiarity with modern software architectures, including event-driven systems, SQL/NoSQL databases, APIs, and distributed applications.
- Experience with containerization and deployment technologies, such as Docker and Kubernetes.
- Knowledge of freight forwarding or logistics operations is preferred, but not required; business knowledge can be developed on the job.
- Strong problem-solving and collaboration skills, with the ability to translate business challenges into practical, scalable technical solutions.
What's in it for you
Your work has a direct impact on the future of logistics and IT. Your team is made up of experts who are shaping the IT industry around the world. We want you to feel comfortable in our working environment, where you will be dealing with different cultures. We value teamwork, continuous learning and diversity. Kuehne+Nagel offers you a tailor-made career with individual planning and team leaders who will support you in every way.
Who we are
Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.
As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life-saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine.
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