Working Student (m/f/d) – AI Workflow Automation & Digital Operations

The Role

Key Responsibilities

AI Workflow Design & Automation (Primary Focus)

• Work alongside the operations lead and business stakeholders to assess defined automation needs — your core judgment call is where AI-based approaches genuinely add value versus where a classic software solution is more robust, cost-effective, and maintainable.
• Evaluate and select the right tools for each use case — from commercial AI services (Claude Code, LLM APIs) to open-source, on-premise solutions — balancing capability, cost, and long-term maintainability. Then design and build the workflows using those tools.
• Prototype agentic workflows that combine AI capabilities with existing business systems (CRM, databases, internal tools).
• Continuously test, refine, and document your automations so they remain maintainable and transparent to non-technical stakeholders.

Process Orchestration & Integration

• Build and maintain automation pipelines using orchestration tools (e.g., n8n, Make) to connect our CRM, lab data, and internal databases.
• Develop and optimize Python scripts for data validation, transformation, and API integrations.

Internal Tooling & Reporting

• Support the creation of dashboards and lightweight internal tools that turn raw data into actionable insights for management.
• Where appropriate, build simple web interfaces to make your automations accessible to the wider team.

Your Profile

Must-Haves

• Education: Currently enrolled in a higher education program in Germany, with plans to remain a student for at least 1 year (ideally 2). Master’s programs in Informatics, Business Information Systems, Data Science, Digital Management, or similar are preferred. Bachelor’s students with significant relevant experience are welcome.
• Prior work experience: At least one completed internship or working student position in a technical or digital role.
• Python: Strong, demonstrable proficiency — this is your primary working language.
• AI/LLM fluency: Hands-on experience using LLM APIs (OpenAI, Anthropic, or similar), AI-assisted coding tools, or building prompt-based workflows. You understand what LLMs are good at, where they fail, and how to integrate them into real processes.
• Databases: Solid understanding of how data is stored and queried (SQL at minimum).
• Process thinking: You approach problems by understanding the business process first, then choosing the right technical solution — not the other way around.
• Language: Fluent English is essential.

Nice-to-Haves

• Professional fluency in German.
• Experience with workflow orchestration platforms (n8n, Make, Apache Airflow).
• Familiarity with web development (JavaScript, simple frontend frameworks) for building internal tools.
• Understanding of deployment and infrastructure basics (Docker, APIs, self-hosted models, cloud vs. on-premise trade-offs) — you won’t manage infrastructure, but you should be able to have an informed conversation with the team that does.
• Broad data literacy: how data is generated, processed, stored, governed, and turned into value.
• Exposure to Kubernetes, CI/CD pipelines, or version control workflows.

What We Offer

• 100% Remote: Complete flexibility to balance work with your studies, with async-friendly communication.
• Real impact: You will work directly on the company’s AI and digital strategy. Your automations will ship to real users and measurably improve how teams operate.
• Autonomy with support: You own your projects end-to-end, with a tech team available for infrastructure, deployment, and architectural guidance.
• Modern tools: You’ll work with current AI models and APIs, orchestration platforms, Python-based tooling, and a growing internal data stack.
• Growth: This is not a “fetch coffee and update spreadsheets” role. You will build portfolio-worthy projects while gaining hands-on experience at the intersection of AI and business operations.