AI/LLM Engineer (m/w/d)

T-Systems International GmbHAt T-Systems, we offer business customers the right system solutions for their digital business. With our portfolio we ensure that digital transformation reduces complexity, saves costs and makes day-to-day work easier. We focus on the areas connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance!DepartmentWe are a team of skilled engineers and ML experts working with clients in healthcare, public sector, and automotive industries. Our focus is on rapid iterations and delivering tangible business outcomes through innovative AI solutions.In the "Digital Solutions" business unit, we focus on providing our customers with a clear competitive advantage through pioneering digital solutions. Our goal is to support companies in driving their digital transformation and strengthening their competitiveness in an increasingly digital market environment. The "Digital Enabler" area plays a key role within our Digital Solutions portfolio, concentrating on fields such as Artificial Intelligence, Data Intelligence & Big Data, Hyperautomation, Application-Led Cloud Transformation, IoT, Digital Identity, and more. For all the focus industries in the "Digital Solutions" portfolio area, we deliver state-of-the-art expertise and solutions in close collaboration with the industry-oriented teams.In the "Artificial Intelligence" area, our expertise focuses on "Generative AI & LLM Services," "AI Architecture," "Computer Vision," and "AI Platforms & Assets.TasksAbout the Role:As an AI/LLM Engineer in our AI Foundation Services team, you will support the development of secure and compliant AI solutions with a focus on Large Language Models and Retrieval-Augmented Generation systems.Your responsibilities:Design, develop, and implement end to end AI systems, particularly focusing on large language models (LLMs)Collaborate with cross-functional teams to integrate AI solutions into existing systems and processesConduct research to explore new techniques and technologies in AI and machine learningAnalyze large datasets to identify trends and insights that inform model developmentContinuously monitor and improve model performance to ensure accuracy and efficiencyCommunicate technical concepts effectively to both technical and non-technical stakeholdersProfileQualifications:Education in Computer Science, Machine Learning, or a related fieldProficiency in Python and strong programming skillsExperience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow as well as RAG frameworks: Llama-index / LangChainAbility to integrate new functional AI systems with APIs, low latency backends and production deploymentQuickly grasp new AI concepts from papers and blogs, conduct experiments, and propose system improvementsExcellent problem-solving skills and attention to detailExcellent communication skills in English and German, both written and verbal (C1)Nice-to-Have:Have experiences on working with distributed HPC clusters: Ray, Kubernetes, DockerExperience with fine-tuning LLM / Embed for downstream tasksExperience with building, evaluating RAG systemsSeverely disabled applicants with equal qualification will be given particular consideration.Your contact: Laura-Patricia StraskyPhone: +43 67682006196E-mail: laura.strasky@magenta.athttps://www.xing.com/companies/deutschetelekomaghttps://www.linkedin.com/company/telekomNoneNone