Job Description

Imagine having a cross-system AI platform that makes all your knowledge accessible…



So that you don’t have to imagine this, we have developed amber. amber is an AI-based, in-house efficiency tool designed to make it easier for employees to access knowledge .



AI isn’t just a tool for you — it’s a field you want to push forward every day. As an AI Engineering Intern (F/M/*),

you will design and fine-tune advanced models, build adaptive AI

pipelines, and optimize performance to keep our platform at the top. You

thrive on solving daily challenges with machine learning, neural

networks, and deep learning innovations.



If you are looking for a company that truly helps improve daily life, shape the future of AI with us and apply now!

Please note:

We are only looking for candidates located in Germany (Aachen/Cologne and nearby) for this role.



Tasks



Integrate, fine-tune, and deploy multimodal models (vision & language) to directly improve product quality, speed, and scalability. Evaluate and benchmark frontier models on industry-specific datasets to ensure they perform optimally for our users. Develop fast, lightweight AI systems to reduce latency in search and generation processes. Stay ahead of the curve by researching and applying techniques like retrieval-augmented generation and open-source state-of-the-art (SOTA) models. Collaborate cross-functionally with product, engineering, and

customer teams to turn business goals into smart, AI-powered features.

Guide technical experimentation and champion innovation, from small model tweaks to entirely new architectures.

Requirements



Experience working with AI models at a research institute as a working student or an extensive GitHub profile showcasing your expertise. Availability for at least 4 months in a full-time position. Deep expertise in Large Language Models and their real-world applications, including fine-tuning, evaluation, and production deployment. At least 1 year of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), including training, scaling, and debugging neural networks. Fluency in at least one compiled or strongly typed programming language (e.g., Java, C++, C#, Rust) with a solid foundation in systems-level thinking. Confident experience with GitOps practices, CI/CD workflows, and collaborative engineering environments. Fluent in English and ideally German. A strong interest in reading and applying scientific papers about deep neural networks and their applications.

Benefits



Workations - As you will be working in an international team, our workations have always been international ? Attractive remuneration (see additional information below) We support your personal development through further training and room for personal responsibility Work flexibly, whether from home or in one of the coolest co-working spaces in Aachen - the Digital Church - or in Cologne whenever it suits you For flexible traveling: Deutschlandticket is on us A team of motivated people who are keen to make AI solutions accessible to SMEs too Work with the latest technologies & tools

Here you will get the chance to take on responsibility right from the start: develop innovative AI-strategies and get off to a rocket start with a pioneering AI product.



Sounds exciting? Then help us now and simply send us your CV or your LinkedIn profile - simply via JOIN. We look forward to hearing from you!



Please note that we are only looking for candidates located in Germany for this role.



Let’s build something big together!