AI Engineer

AI Engineer

With a global team of 5600 IT professionals, DHL IT Services enables DHL to connect people and keep the global economy running by continuously innovating and creating sustainable digital solutions. We work globally beyond borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technological backbone of the biggest logistics company in the world. Our offices in Germany, Malaysia, Czech Republic and India have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization. Simply delivered.

At IT Services, we are passionate about technology. Our Clearance team is continuously expanding. No matter your level of software engineering proficiency, you can always grow within our diverse environment.

DHL #DHLITServices #GreatPlace #Cloud #AsOne #AI

Grow together

The role of an AI Engineer is the pathfinder for the Engineering team. AI Engineers need to be able to understand the challenges on the ground and find solutions to improve efficiency in delivering solutions for faster time to market. AI Engineer is proficient in leveraging available AI tools in applying real world use cases for better productivity

Ready to embark on the journey? Here’s what we are looking for:

As an AI Engineer, having Python experience, Prompt Engineering and Generative AI models, and AI use cases application are required. Also, knowledge of AI workflow tools such as LangChain and Google ADK will be a huge plus to help our company improve our business and IT processes with better efficiency, breaking down tasks to use the right learning models, while grounding results via “context engineering” using RAG and MCP protocols to ensure only relevant and good quality results are produced.

You are able to evaluate business challenges, decompose complex problems into AI-enabled workflows, and select the most appropriate models, architectures, and techniques to achieve measurable outcomes. Experience with context engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), agent-based systems, and AI orchestration frameworks is highly desirable. You are expected to design reliable, scalable, and secure AI solutions that deliver accurate, relevant, and high-quality results while aligning with enterprise standards and governance requirements.

Aside from that, you should be able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.