You support the design, implementation and operation of production-grade AI workflows and agent systems.
You integrate internal data sources and systems (e.g., CRM, reporting, knowledge bases, project tools).
You develop and implement automation workflows using Make, n8n and custom integrations via LLM APIs (OpenAI, Anthropic, Mistral, open-source models).
You identify and prioritize automatable processes together with all business units — from reporting and content production to customer advisory.
You design, develop and continuously optimize AI agents for analysis, research, reporting and decision-making processes.
You build AI agents for areas such as SEO, paid media, content, CRM and internal knowledge work.
You evaluate and prototype with different LLM models and architectures for various use cases — in close coordination with the Head of AI.
You are responsible for team enablement through training, workshops and hands-on sessions — ensuring AI becomes a way of working, not just a project.
You implement GDPR-compliant solutions (on-premises vs. cloud, data processing agreements, data classification).
Requirements
You have hands-on experience with LLM APIs and automation tools — not just theoretical knowledge; you have built systems and deployed them to production.
Ideally, you have solid Python skills as an integration and automation language.
You have experience with workflow automation platforms (Make, n8n, Zapier) and understand their limitations.
You understand data architectures, including APIs, data connectors, ETL/ELT pipelines and data normalization.
You have a basic understanding of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, etc.).
You can analyze business processes and translate them into automation opportunities.
You think architecturally and decide which model is suitable for which use case and what should remain on-premises versus move to the cloud.
You are confident translating between technical and business language and communicate effectively with developers and executives alike.
You have excellent German skills at C2 level; strong English skills are an advantage.
Tech Stack
Cloud
ETL
Open Source
Python
Benefits
You will work directly with the Head of AI and company leadership — with short decision paths and fast approvals.
You will have real scope to shape things and build something new — without legacy systems and bureaucracy.
You will receive an attractive compensation package with clear development prospects within the AI team.
You will work with exciting enterprise clients actively driving AI transformation (e.g., Hilti, Wien Energie, mobile.de, and others).
You benefit from a flexible working model: remote-first with regular team touchpoints.
You will receive a budget for tools, infrastructure and training — we invest in AI, not just talk about it.