Internship
Do you want to put the theory you have learned into practice and experience and help shape the digital world of tomorrow today? Then you've come to the right place! We can make and copy coffee ourselves. We are looking for working students like you who want to advance the connected world every day with team spirit and a willingness to innovate and perform!
At T-Systems, we offer our business customers the right system solutions for their digital business. With our portfolio, we ensure that digital transformation reduces complexity, saves costs and makes everyday work easier. Our focus is connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance!
With the Industrial AI Cloud, T-Systems is building Europe's next-generation AI infrastructure, powered by thousands of NVIDIA GPUs, including the NVIDIA DGX B200 and B300. On this platform, our AI Foundation Services such as LLM Hub and SmartChat enable companies and public clients to use modern large language models and generative AI applications on sovereign, secure infrastructure.
We are looking for a motivated working student Technical Customer Success - AI Products in the area of Technical Customer Success to join our customer success team.
You will support our customers from initial access to productive use of our AI products. Together with experienced customer success managers and solution architects, you'll support technical onboarding, analyze how customers use the platform, and build the tools and dashboards that our team uses to scale.
The position suits you if you study computer science or a related subject, are confident in Python, are very interested in LLMs and enjoy working at the interface between technology and customers.
We are looking for enrolled students to support our team in Darmstadt, Berlin, Bonn, Munich, Frankfurt, Hamburg or Düsseldorf from 01.01.2027 for at least 6 and maximum 24 months with up to 20 hours per week with the following tasks:
You support the technical onboarding of our customers on LLM Hub and SmartChat, including API access, authentication, model selection and initial integrations
You create sample code, notebooks, and integration examples (such as OpenAI-compatible APIs, RAG pipelines, agent frameworks) that help customers become productive faster
You analyse technical questions and problems from customers, reproduce errors and prepare structured input for engineering and product.
You develop Python-based data pipelines that combine usage, consumption and CRM data
You work on customer and usage analyses, including dashboards and KPIs on adoption, consumption and plan utilization
You automate recurring customer success processes such as usage reports, alerts, and onboarding communication
You support customer workshops, enablement sessions, and training with demos and technical material
You create and maintain technical documentation, FAQs, and self-service content for customers
You benchmark customer use cases (latency, throughput, token consumption) and prepare the results so that customers can work with them
You collect customer feedback and feature requests and translate them into structured input for the product team
You are enrolled in a bachelor's or master's degree in computer science, artificial intelligence, business informatics, data science, mathematics or a related subject.
You also have the following knowledge and skills:
You program securely in Python, e.g. for data processing, APIs, or automation scripts
You understand the basics of LLMs and generative AI, such as prompting, RAG, tokens, and context windows
You have experience with REST APIs and tools such as Postman, curl or Jupyter
You have experience with SQL and data analysis libraries such as pandas
You know Git and Linux-based environments
You can explain technical topics in an understandable way for technical and non-technical target groups
You work in a structured and independent manner and are interested in our clients' problems
You speak and write fluent German and good English
You have very good communication skills
You're ready to travel up to 50% of your working time
Experience with OpenAI-compatible APIs, LangChain, LLamaIndex, or similar frameworks
Experience with dashboarding or BI tools such as Metabase, Power BI, or comparable solutions
Experience with CRM systems, ideally Salesforce
First experience in customer-related activities such as support, consulting, tutorials or pre-sales
Basic knowledge of Docker and container concepts
Understanding LLM serving concepts such as rate limits, latency, throughput, and model hosting
Interest in sovereign AI, data protection and regulated industries such as the public sector or healthcare
Direct contact with companies and public clients using one of Europe's largest enterprise AI platforms
Practice with current LLMs and AI products
Insight into how AI products are being launched, used, and scaled in large organizations
Development at the interface of AI engineering, data analysis and customer management
Collaborate with experienced CSMs, solution architects, engineers, and product managers
Flexible working hours that suit your studies
A collegial environment in which you take on real responsibility early on
This position is also available on a part-time basis.
Severely disabled people are given priority if they are equally qualified.
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