Your IT Future, Delivered.
AI Software Engineer (Python, GenAI)
With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
Digitalization. Simply delivered.
At IT Services, we are passionate about technology. Our team is continuously expanding. No matter your level of Architecture proficiency, you can always grow within our diverse environment.
#DHL #DHLITServices #GreatPlace
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 solution 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 is required. Also, knowledge of AI workflow tools such as LangChain and n8n 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.
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.
An array of benefits for you:
Hybrid work arrangements to balance in-office collaboration and home flexibility. Annual Leave: 42 days off apart from Public / National Holidays. Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease. In House training programs: professional and technical training certifications.The role of a Software Engineer is a combination of project delivery and support. Software Engineers are an important part of an agile team, they need to understand and implement the requirements by business. As part of a DevOps Team, they solve incidents based on tickets, take care of a proper monitoring of the system and implement CR’s after the Go Live of a product. On top of it they bring improvement ideas in the discussions to increase quality and develop the product further.
Ready to embark on the journey? Here’s what we are looking for:
As a Software Engineer, having Python experience, Prompt Engineering and Generative AI models, use cases knowledge is a huge plus. Very good knowledge of Software Development Methodologies and DevSecOps process and tools and Java & Node.js programming language will also be an integral part of this role.
You are a GenAI aficionado, therefore you have a good understanding of version control systems (e.g., Git) and project management tools, analytical and soft skills. You are 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.
An array of benefits for you:
Hybrid work arrangements to balance in-office collaboration and home flexibility. Annual Leave: 42 days off apart from Public / National Holidays. Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease. In House training programs: professional and technical training certifications.