askui GmbH
Schwäbisch Media
AI Consultant / AI Engineer (m/f/d)
About the opportunity
With over 4,000 employees at more than 100 locations in six federal states, the SV Group – Schwäbischer Verlag GmbH & Co. KG Drexler, Gessler is one of Germany's leading media companies. We stand for independent regional quality journalism as well as for expertise and innovation in logistics, fulfillment, tourism, and creative services.
For you, AI is not just a buzzword or an innovation project for the drawer, but a tool for real change in processes, products, and teams? You understand both business requirements and technical contexts and are eager to not only use modern AI technologies but also to meaningfully translate and further develop them into real solutions? Then become an
AI Consultant / AI Engineer (m/f/d) in full-time at one of our locations (Berlin, Neubrandenburg, Schwerin, or Ravensburg) or 100% remote – and bring AI to where it unfolds its impact: into daily practice.
What is the secret of Schwäbisch Media's success? It's our employees. As a media company we combine the media channels print, online, TV and radio as well as many media services under one roof. With the development of innovative products and services, we stay abreast of the times. We see ourselves as part of the region - as partners and companions of the people who live here. With our products and services we want to inspire and offer real value. Schwäbisch Media is engaged and lifelike. We offer a place for creative minds who are looking for interesting challenges.
Your Responsibilities
You are the central point of contact for AI topics within the company and support projects from the initial idea to the productive solution. Together with the business departments, you identify concrete application possibilities, assess technical feasibility, ensure that AI solutions create real added value in everyday life, and implement them independently. You will work closely with our Data Team of analysts, engineers, and scientists, primarily in the environment of LLMs, Agentic AI, automation, and managed cloud services.
- Identify and prioritize AI use cases: You understand processes, recognize potential, and evaluate AI application cases based on business impact, technical feasibility, and practical benefit.
- Productively implement LLM applications and AI workflows: You develop and integrate Agentic AI workflows, RAG systems, or assistance systems and securely bring existing AI technologies into the organization.
- Automate processes and integrate existing tools: With solutions like n8n, MCP servers, or various LLM-APIs, you automate workflows and connect existing systems.
- Work with modern AI and ML technologies: You use platforms and services such as OpenAI, Gemini, Claude, Vertex AI, or BigQuery ML and further develop existing solutions as needed.
- Operate ML models and productive AI systems: From ML pipelines to monitoring, drift detection, and retraining, you ensure stable and sustainable AI applications in productive use.
- Implement AI solutions compliantly and responsibly: You are familiar with the requirements of the EU AI Act and ensure that regulatory and organizational requirements are taken into account.
Your Profile
- Completed degree in computer science or comparable qualification
- Demonstrable, practical experience with LLMs, RAG, and Agentic AI
- Experience with AI frameworks such as LangChain, CrewAI, or Gemini Enterprise
- Very good Python skills and experience with ML frameworks such as PyTorch or TensorFlow
- Knowledge of working with platforms such as OpenAI, Anthropic Claude, Gemini, or Microsoft Copilot
- Experience with workflow automation tools such as n8n or Make
- Practical experience with cloud ML platforms such as Google Cloud, AWS, or Azure
- Understanding of ML Ops, productive AI systems, as well as monitoring, quality assurance, and drift detection
- Knowledge of the EU AI Act and responsible AI use
- Experience in implementing productive solutions – not just in conception
Why You Should Join Us
- Real creative freedom: You will take on a central role in the practical application of AI within the company
- Technological focus: Modern AI topics with direct application relevance and productive use
- Interdisciplinary collaboration: Close cooperation with business departments as well as the Data and Tech Team
- Modern work environment: Flexible working hours, up to 100% remote work, and an open corporate culture
- Professional development: Individual training opportunities and professional development possibilities
- Additional benefits: EGYM Wellpass, Jobrad, and other perks
