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# Software Engineer - Clinical Systems

- **Company:** Fresenius Medical Care
- **Location:** Paterna, Spain
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), .NET Framework, Artificial Intelligence, Application Integration Architecture, Microsoft Azure, Health Informatics, C Sharp (Programming Language), Clinical Data Repository, Code Review, Data Stores, Software Debugging, Middleware, Machine Learning, Azure Machine Learning, SignalR, Software Engineering, SQL Databases, Data Streaming, TypeScript, YAML, Azure Service Bus, Large Language Models, Multi-Agent Systems, Concurrency, Generative AI, Backend, Git, Containerization, AngularJS, Information Technology, ONNX (Open Neural Network Exchange) Format, Front End Software Development, Vertica, Virtual Agents, Restful APIs, Software Version Control, Data Pipelines, Docker, Microservices
- **Published:** August 30, 2026
- **Apply:** https://www.jobleads.com/es/job/eddb096835d657859f97220f4bb5674a4

## About the Role

Bachelor's degree in Computer Science, Information Technology, or a related field. 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. Git source control and collaborative development workflows Azure DevOps / YAML CI/CD pipelines Docker / containerization - all services run in containers; basic familiarity required Azure platform services: Azure OpenAI, Azure Service Bus, Azure AI Services Spanish: Native or fluent (team communication) English: Professional proficiency (documentation and tooling) IT skills: C# / .NET 8 - required; async/await, IAsyncEnumerable<>(), DI, REST APIs ASP.NET Core - middleware pipeline, IOptions, controller and hub patterns Valued (differentiators): Angular / TypeScript / JavaScript - front-end contribution SignalR - real-time streaming hub;
HITL concurrency patterns SQL / Vertica - querying and validating clinical patient data at the terminal columnar data store A plus (applied AI - nice to have, not required): LLM API integration - Azure OpenAI / OpenAI; streaming completions, tool-calling / function-calling protocols Agentic AI patterns - tool registries, HITL approval flows, conversation state management RAG pipelines - embeddings, vector stores, retrieval ONNX Runtime - in-process model inference for OCR pipelines Agent orchestration frameworks - Semantic Kernel, LangChain, AutoGen, or equivalen Healthcare IT or regulated environments: a plus, not required Awareness of clinical data sensitivity requirements (GDPR, patient data protection)

## Description

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., 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. Contribute to front-end development (Angular / TypeScript) as required, in collaboration with the Lead Front-end Engineer. Debug and troubleshoot issues across the microservices environment, minimising impact on clinical operations. 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. Participate in code review and technical documentation, building shared architectural knowledge of TheHub to reduce key-person dependency. Collaborate with the Lead Data Scientist on solution design, translating AI/ML concepts into maintainable C#
components. Support integration with the platform's cloud and messaging services (Azure) for real-time and asynchronous processing. Support integration with the platform's cloud and messaging services (Azure) for real-time and asynchronous processing. Stay current with software engineering and applied Generative-AI practices relevant to the platform, and help adopt new tooling as it matures. Participate in technical alignment meetings with the team and clinical stakeholders.


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