Get your hands on real AI systems that run. Start here.

At WAIYS you work on AI components that are part of live, production systems, not experiments parked in notebooks.

You collaborate closely with AI and DevOps engineers on LLM-based pipelines, agent frameworks, real-time speech and vision models, and AI integrations that run across edge, robotic, and enterprise environments.

​

If you want to actively build and deploy AI while the field is still evolving fast, you’ll find the right environment here.

About WAIYS
WAIYS is a Norwegian-German tech company on a mission to simplify AI adoption in the real estate industry.
We combine advanced AI software, robust infrastructure, and deep domain expertise to build modular AI SaaS for real estate investors, developers, and managers. Our solutions range from chatbots to advanced analytics to full agentic automations.

Role Overview
As a Working Student AI Engineer, you help design, build, test, and deploy AI components across our product ecosystem.
You work hands-on with modern AI stacks including LLMs, agent-based systems, real-time models, and automation pipelines, and see how AI moves from research into running systems.This role suits students who want practical, system-level AI experience in a fast-moving production environment.

Key Responsibilities

• Develop and refine AI pipelines 

• Integrate and test models (open-source LLMs) 

• Support agent development for robotics, digital twins, and enterprise copilots 

• Assist in designing evaluation workflows, benchmarks, and quality assurance tests 

• Work closely with DevOps to optimize inference runtimes, memory usage, and containerized deployments 

• Build small tools and scripts (Python or Node.js) to improve automation and testing

Required Skills

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field 

• Strong programming experience in Python (async, FastAPI/Flask, modules, data handling) 

• Solid understanding of machine learning fundamentals 

• Familiarity with at least one LLM framework: Hugging Face, llama.cpp, Ollama 

• Experience working with Git, virtual environments, and CLI tools 

• Strong problem-solving and debugging skills

Nice-to-Have Skills

• Experience with STT, TTS, or audio processing 

• Understanding of Docker or containerized ML workflows 

• Experience with agentic frameworks 

• Familiarity with robotics or real-time applications, including hobby projects

What to Expect

• ~10 hours per week, compatible with your university schedule 

• Hybrid work model. Remote work within Germany possible. 

• Direct collaboration with experienced AI and DevOps engineers 

• Hands-on work with production AI systems 

• A steep learning curve and meaningful technical contribution 

• Semester-based role starting March 1st, with the option to grow further

Who Thrives Here

• You want to actively build AI systems, not just study them 

• You enjoy working close to infrastructure and deployment reality 

• You learn fast and like solving real technical problems 

• You communicate clearly in German and English

Application Form