Competitive Compensation & Security – Enjoy a competitive salary and an ITP-level pension for long-term financial stability
Top-Tier Equipment – Work with a MacBook Pro and iPhone (private use included) to stay productive wherever you are.
Remote-First & Flexible Work – Choose where and how you work with our remote-first culture and adaptable work environment.
Workations & Team Travel – Collaborate, connect, and explore with team trips to inspiring locations.
Continuous Learning & Growth – Access a dedicated learning and conference budget, plus mentorship from senior experts.
Be Part of the Future – Work on cutting-edge AI and data solutions that shape industries and make an impact.
Location: Ulm, Stockholm, or Remote
Help our clients build and optimize cloud-based data infrastructure. In this role, you’ll work on a mix of cloud migration, DevOps automation, and data engineering projects—empowering businesses to manage and process data at scale, with efficiency and reliability.
Your responsibilities:
– Design and implement cloud-native solutions
– Optimize infrastructure for scalability and high availability
– Collaborate with stakeholders to build data-driven architectures
This role is ideal for someone who enjoys working at the intersection of Cloud Engineering, DevOps, and Data Engineering—someone who can optimize infrastructure and understands modern data workflows and architectures.
Location: Ulm
We are looking for a working student to help us explore and prototype new ideas in Large Language Models (LLMs)and Generative AI. You will experiment with different models, build quick proof-of-concepts, and explore how these technologies can be applied to real-world business challenges.
Additionally, you’ll have the opportunity to share your insights through technical blog posts and social media content, showcasing your work and contributing to the broader AI community.
This role is ideal for students who are passionate about AI, curious by nature, and eager to apply cutting-edge technology in practical, creative ways.
How to Apply
Send your CV to [email protected] and indicate the position you’re applying for in the subject line. We look forward to hearing from you!