Job Description
As a leading company in the field of software solutions for healthcare, we operate in 19 countries and employ over 9,000 dedicated staff members. You will work in a dynamic and innovative environment full of opportunities. With your commitment and passion, you have the chance to make a lasting difference.
Together, we are shaping the healthcare system of the future. Become part of our mission and make a difference—for a world where knowledge saves lives!
Your Impact
Development and operation of a microservice-based agent mesh – highly scalable, multi-tenant, and secure by design.
Orchestration of agentic systems and multi-agent architectures with frameworks such as LangChain, CrewAI, or Semantic Kernel.
Integration and productive deployment of foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face, Mistral).
Design and implementation of intelligent backend components for context management, Retrieval-Augmented Generation (RAG), memory, tool use, and agentic collaboration.
Building pipelines for prompt optimization, inference control, and usage analytics.
Close collaboration with frontend, UX, and infrastructure teams to bring AI solutions into end-to-end production.
Your Profile
Degree in Computer Science, Artificial Intelligence, Data Science, or a comparable discipline.
Hands-on experience in developing LLM-powered agentic applications with a strong focus on microservice architectures.
Deep expertise in Python (LangChain, FastAPI, AsyncIO, Pydantic), as well as in working with model APIs, data integration, and CI/CD.
Experience with Azure AI, Azure ML, or comparable cloud stacks (GCP, AWS is a plus).
Knowledge of vector databases (e.g., Qdrant, Weaviate, Pinecone, FAISS) and the application of embedding models for RAG approaches.
Solid understanding of scalability, multi-tenancy, and security requirements in the productive operation of AI systems.
