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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 technological backbone of the biggest logistics company in the world. All our locations have earned the #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
Digitalization. Simply delivered.
At IT Services, we are passionate about technology. Our Data Quality team is continuously expanding. No matter what your level of AI Engineer proficiency, you can always grow within our diverse environment.
#DHL #DHLITServices #GreatPlace#DataQuality
Grow together
Our core focus is on the timely delivery of projects with great quality, resilience, and cost efficiency, all aimed at ensuring customer satisfaction. As an AI Engineer, you will be responsible for working on Generative AI and LLM Engineering with experience in Azure Open AI, Vertex AI, Github Copilot and OpenAI, encompassing aspects such as prompt engineering techniques, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), LLM orchestrati on frameworks and fine-tuning vector search.
By fulfilling these responsibilities, you will contribute to the overall success of projects, customer satisfaction, and the smooth operation of services within the organization.
Ready to embark on the journey Here's what we are looking for:
As an AI Engineer, hands-on experience in Python programming language is a huge plus. Very good knowledge of API development (SOAP/REST/GraphQL), familiar with Java (Spring boot Framework and Node.Js), clean code, testing, CI/CD mindset using GitHub Action, strong SQL skills, develop data pipelines and data modelling on large dataset will also be an integral part of this role.
You are a technology aficionado therefore, you need to have a good understanding of Azure (microservices and containerization), Google Cloud Platform, Splunk, MQ, SFTP and Snowflake. You can work independently, prioritize and organize your tasks 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:
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other protected characteristic.
DHL is a German logistics company providing courier, package delivery and express mail service, which is a division of the German logistics firm Deutsche Post. The company group delivers over 1.6 billion parcels per year. DHL Express is market leader for parcel services in Europe and Germany's main Courier and Parcel Service.
The company DHL itself was founded in San Francisco, United States, in 1969 and expanded its service throughout the world by the late 1970s. In 1979, under the name of DHL Air Cargo, the company entered the Hawaiian islands with an inter-island cargo service using two DC-3 and four DC-6 aircraft. Adrian Dalsey and Larry Hillblom personally oversaw the daily operations until its eventual bankruptcy closed the doors in 1983. At its peak, DHL Air Cargo employed just over 100 workers, management and pilots.
Job ID: 148466383
Skills:
snowflake , containerization , Microservices, Python, Graphql, Google Cloud Platform, Mq, Api Development, Node.js, Soap, Sql, REST, Sftp, Splunk, Azure, vector search, data pipelines, Azure Open AI, Vertex AI, Java Spring Boot, LLM Engineering, Generative AI, fine-tuning, prompt engineering, GitHub Copilot, LLM orchestration frameworks, RAG, MCP, OpenAI
Skills:
Python, LangChain, MCP protocols, n8n, Generative AI models, context engineering, Prompt Engineering, AI workflow tools, AI use cases application
Skills:
Java, Python, LangChain, Agentic AI models, MCP protocols, Generative AI, n8n, Prompt Engineering, context engineering, AI workflow tools
Skills:
Deep Learning, Tensorflow, Java, Machine Learning, Pytorch, Python, LangChain, LangGraph, Llm
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