At Fresenius Medical Care, we are the global leader in kidney care, committed to improving the lives of patients with chronic kidney disease. Our mission is to deliver high-quality, innovative products, services, and care across the entire healthcare journey. Guided by our vision—“Creating a future worth living. For patients. Worldwide. Every day.”—we work with purpose and compassion, supported by a global team of over 110,000 employees.
Within our Care Enablement segment, we develop and provide life-sustaining medical products, digital health solutions, and therapies that empower clinical teams and improve patient outcomes. Our FME Reignite strategy drives transformation through innovation, efficiency, and sustainable growth.
Our values guide how we work:
We Care for our patients, each other, and our communities
We Connect across teams and borders to deliver excellence together
We Commit to doing things the right way— growing with purpose and leading kidney care with integrity and innovation
Goal of function:
Develop and maintain software components within the O4A – TheHub clinical microservices platform, built in C# / .NET with an Angular front end. The core of the role is hands-on back-end and full-stack engineering on live clinical workflows. As part of the platform's roadmap, the role also contributes to AI-enabled product features — such as real-time assistant chat, LLM API integration, and document-processing pipelines — so practical familiarity with Generative AI tooling is a valued asset, not the primary requirement. This is a software engineering role, not a data science or AI research role.
Your tasks:
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Develop and maintain C# / .NET microservices within O4A – TheHub, following existing architectural conventions and preserving the reliability of live clinical workflows. Includes working with the proprietary Ark framework (FME.Ark.*) — learned on the job.
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Contribute to front-end development (Angular / TypeScript) as required, in collaboration with the Lead Front-end Engineer.
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Debug and troubleshoot issues across the microservices environment, minimising impact on clinical operations.
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Contribute to the platform's AI-enabled features (e.g. the AI Integration microservice) under the technical guidance of the Lead Data Scientist — implementing, integrating and maintaining Generative-AI capabilities as the product roadmap evolves.
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Participate in code review and technical documentation, building shared architectural knowledge of TheHub to reduce key-person dependency.
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Collaborate with the Lead Data Scientist on solution design, translating AI/ML concepts into maintainable C# components.
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Support integration with the platform's cloud and messaging services (Azure) for real-time and asynchronous processing.
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Support integration with the platform's cloud and messaging services (Azure) for real-time and asynchronous processing.
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Stay current with software engineering and applied Generative-AI practices relevant to the platform, and help adopt new tooling as it matures.
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Participate in technical alignment meetings with the team and clinical stakeholders.
Your profile:
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Bachelor’s degree in Computer Science, Information Technology, or a related field.
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Minimum 1–2 years of professional software development with demonstrated, production-grade C# / .NET experience. Preferred range is 3–5 years, enabling faster ramp-up on the platform's proprietary framework and clinical system complexity.
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Git source control and collaborative development workflows
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Azure DevOps / YAML CI/CD pipelines
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Docker / containerization — all services run in containers; basic familiarity required
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Azure platform services: Azure OpenAI, Azure Service Bus, Azure AI Services
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Spanish: Native or fluent (team communication)
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English: Professional proficiency (documentation and tooling)
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IT skills:
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C# / .NET 8 — required; async/await, IAsyncEnumerable<>, DI, REST APIs
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ASP.NET Core — middleware pipeline, IOptions, controller and hub patterns
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Valued (differentiators):
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Angular / TypeScript / JavaScript — front-end contribution
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SignalR — real-time streaming hub; HITL concurrency patterns
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SQL / Vertica — querying and validating clinical patient data at the terminal columnar data store
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A plus (applied AI — nice to have, not required):
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LLM API integration — Azure OpenAI / OpenAI; streaming completions, tool-calling / function-calling protocols
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Agentic AI patterns — tool registries, HITL approval flows, conversation state management
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RAG pipelines — embeddings, vector stores, retrieval
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ONNX Runtime — in-process model inference for OCR pipelines
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Agent orchestration frameworks — Semantic Kernel, LangChain, AutoGen, or equivalen
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Healthcare IT or regulated environments: a plus, not required
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Awareness of clinical data sensitivity requirements (GDPR, patient data protection)
Our Offer for you:
There is a lot you can discover at Fresenius Medical Care, regardless in which field you are an expert and how much experience you have - all dedicated to your professional journey.
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Whether in front of or behind the scenes - you are helping to make ever better medicine available to more and more people around the world
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Individual opportunities for self-determined career planning and professional development
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A corporate culture in which there is enough room for innovative thinking - to find the best solution together, not the quickest one
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A large number of committed people with a wide range of skills, talents and experience
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The benefits of a successful global corporation with the collegial culture of a medium-sized company
