Working Student (m/f/d) – AI Workflow Automation & Digital Operations
Deine Aufgaben
The Role
We are looking for a technically curious working student who wants to shape how an entire organization works with AI. Our company is scaling its digital infrastructure, and we see enormous potential in using Large Language Models and AI-powered tools to automate workflows across departments — from operations and sales to lab coordination and internal reporting.
Your mission: identify manual, repetitive, or inefficient business processes and build smart, LLM-driven solutions that actually ship. You won’t be writing theoretical concepts — you’ll be deploying real automations that change how our teams work every day.
You will be supported by our tech team for anything that requires on-premise infrastructure or deployment, but you should understand the landscape well enough to design solutions with those constraints in mind.
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.
Dein Profil
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.
Warum wir?
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.
Apply To This Job
The Role
We are looking for a technically curious working student who wants to shape how an entire organization works with AI. Our company is scaling its digital infrastructure, and we see enormous potential in using Large Language Models and AI-powered tools to automate workflows across departments — from operations and sales to lab coordination and internal reporting.
Your mission: identify manual, repetitive, or inefficient business processes and build smart, LLM-driven solutions that actually ship. You won’t be writing theoretical concepts — you’ll be deploying real automations that change how our teams work every day.
You will be supported by our tech team for anything that requires on-premise infrastructure or deployment, but you should understand the landscape well enough to design solutions with those constraints in mind.
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.
Dein Profil
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.
Warum wir?
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.
Apply To This Job