Learn fast. Ship early. Grow with real AI projects.
Perfect if you want to jump into modern GenAI development alongside your studies.
As a technology company with locations in Cologne and Osnabrueck, we have specialized for more than 15 years in interactive digital signage and mobile solutions at point of sale and point of interest, as well as digital transformation projects.
We are looking for a working student in GenAI (m/f/d) with up to 20 hours per week to strengthen our dynamic team in Cologne as soon as possible.
Company
NEWROOM MEDIA GMBH
Location
Neusser Str. 27, 50670 Cologne
Model
Working student, Flexible hours, On-site
Why this working-student role is strong
Up to 20 hours per week with real impact in GenAI projects
Fast hands-on growth in modern agent and LLM development
Direct collaboration with a focused on-site engineering team
Exciting tasks for you
Develop a modern agent platform on cloud infrastructure
Integrate and orchestrate large language models and AI services
Build AI agents, tool integrations, and automated workflows
Develop scalable backend services and APIs
Co-design our AI and platform architecture
Rapid prototyping of new GenAI features and applications
Close collaboration in the on-site engineering team
Solve technical challenges together with direct communication and short paths
What you bring
Studies or background in computer science, AI, data science, or software engineering
Solid knowledge of Python or comparable programming languages
Understanding of backend systems, APIs, and software architecture
Interest or first experience with GenAI, LLMs, or machine learning
Motivation to apply new technologies hands-on and learn quickly
Team-oriented mindset and joy in building together on-site
Initiative, curiosity, and a startup mindset
Optional
Experience with cloud technologies, Docker, or modern AI frameworks
Experience with RAG systems, agent frameworks, or ML libraries
What you get
Work on a modern AI platform with real-world use cases
Work with current GenAI technologies and tools
A small, focused engineering team that collaborates closely
Direct on-site exchange for fast decisions and short feedback cycles
Lots of room to take ownership and grow technically
An environment where learning, experimenting, and pragmatic building are explicitly encouraged
Shared team time - including Koelsch at our house bar
