Responsibilities
- You will work from day one on exciting AI projects, take on responsibility, and learn from the best.
- Pioneering work with GenAI projects: Work closely with our Data Scientists and Engineers to build a strong team that develops end-to-end generative AI applications and drives innovative solutions.
- Integration and utilization of GenAI: Integrate and orchestrate services from cutting‑edge AI infrastructures into a robust backend — from the data source to the user interface.
- Scalable cloud architectures: Develop scalable software and infrastructures that accelerate AI adoption for our clients and ensure long‑term success.
- Consulting & workshops: Deliver real value by advising and supporting our clients from concept through to production deployment.
Requirements
- Degree, vocational training, or a comparable qualification.
- Strong proficiency in Python and relevant libraries for API development (FastAPI, Pydantic), as well as AI‑specific frameworks and tools.
- Initial experience in building RAG infrastructures (LLMs, embeddings & vector databases) in an Azure context (or similar).*
- Initial experience with CI/CD workflows and infrastructure‑as‑code in a cloud context.
- Very good German language skills and the ability to present complex topics clearly and understandably.
Core Competencies
Demonstrates expertise in developing scalable generative AI applications using Python and relevant libraries, while effectively integrating AI infrastructures and delivering client‑focused solutions. Proficient in CI/CD workflows and infrastructure‑as‑code within cloud environments, with strong communication skills in German.
