Working Student (f/m/d) Python & AI Automation Engineer (Quality Engineering)

About the Role

Join a forward-looking Software Quality and Automation team that is driving AI-assisted automation of engineering processes and software quality checks.

As a Working Student, you will actively contribute to building Python-based automation solutions, AI-driven validation workflows, and scalable quality frameworks that reduce manual effort and improve engineering efficiency. You will work closely with experienced engineers to apply modern techniques such as LLM-based validation, automation pipelines, and structured quality analysis in a real industrial environment.

Your Responsibilities

- Design and implement Python-based automation scripts for software quality checks and data processing

- Contribute to test automation and validation frameworks (e.g., static checks, completeness checks, rule-based validation)

- Support development of AI-assisted quality analysis workflows (e.g., LLM-based validation, structured prompt outputs)

- Build and maintain automation pipelines and workflows (e.g., using tools like n8n, scripts, or APIs)

- Develop parsers and data extraction utilities for engineering artifacts (reports, logs, configurations)

- Define and maintain automation rules and configurations (e.g., JSON, YAML)

- Support integration of automation into existing development and CI/CD environments

- Assist in debugging automation issues (scripts, pipelines, environment setup)

- Contribute to automation dashboards, reports, and quality metrics

- Document solutions and share learnings with the team

Your Profile

Education

- Currently enrolled in a Master’s program in Computer Science, Software Engineering, Data Science, AI, or similar

Technical Skills

- Initial hands-on experience in Python development (mandatory exposure)

- First experience in automation or test automation (academic projects, internships, or personal projects)

- Basic understanding of:

• Software development practices (version control, debugging)
• APIs and data formats (JSON, XML)
• Automation workflows or scripting

Interest Areas

- Strong interest in:

• AI-assisted software testing and GenAI applications
• Test automation frameworks and quality engineering
• Process automation and scalable validation approaches

Mindset & Capabilities

- Strong analytical and problem-solving skills

- Ability to break down complex problems into structured solutions

- Eagerness to learn modern tools (Python frameworks, AI tools, automation pipelines)

- Structured, reliable, and self-driven working style

- Good communication skills in English

Nice to Have

- Exposure to:

• Python testing frameworks (e.g., Pytest, unittest)
• CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins)
• AI/LLM tools or prompt engineering concepts

- Basic familiarity with:

• Linux environments or Docker
• Software quality concepts or testing processes

What You Will Learn

- How to build scalable Python automation frameworks for real-world engineering systems

- Practical application of AI/LLM techniques in software quality assurance

- Integration of automation into development workflows and CI/CD pipelines

- Hands-on experience in debugging multi-layer issues (code, tooling, infrastructure)

- Exposure to industrial software quality processes and best practices

Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.