- TasksYour tasksDevelopment and optimization of innovative software architectures, AI applications, and algorithms for exciting research projects
- Independent implementation of innovation projects in the areas of energy, health and finance.
- Design and implementation of modern interfaces, functions and demonstrators using state-of-the-art technologies and frameworks
- Conceptualization of software architectures (e.g., RAG, agent systems) and development of new systems based on your creative ideas
- qualificationYour profileCompleted or advanced studies in computer science, business informatics, electrical engineering, mechanical engineering, physics, mathematics or a comparable field of study
- 3-5 years of solid programming knowledge in Python or C++
- Expertise in at least one of the following areas: architectural design, testing and interface integration, time series analysis, agent systems, fine-tuning of models, software verification
- Excellent German or English skills, both spoken and written.
- You have a gitHUB repository that demonstrates your programming experience.
- BenefitsYour benefitsFlat hierarchies and room for initiative in a dynamic team
- Learning by Doing: Working independently and trying out new approaches
- Open culture of learning from mistakes: Your ideas are welcome – grow through creative freedom
- Collaboration in a young, motivated team with mutual support
- Flexible working hours for optimal balance between studies, private life and job
- 100% home office or presence in Mülheim an der Ruhr
Become part of our team and help shape the future of AI! Send us your application (CV, certificates, and a link to your Git repository or your own software projects are sufficient). Unfortunately, we cannot consider your application without references (Git repository, etc.). We look forward to hearing from you!U-Glow GmbHAt prelytics®, we develop user-friendly software solutions based on advanced technologies to simplify complex tasks and provide you with valuable insights. We utilize technologies such as generative artificial intelligence (AI) and large language models (LLMs). These technologies enable us to quickly process large volumes of text and data while delivering precise results.