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# Full Stack Engineer (AI Platform / RBQM)

- **Company:** eResearchTechnology GmbH
- **Location:** Leuven, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, C Sharp (Programming Language), Continuous Integration, DevOps, Middleware, PostgreSQL, Machine Learning, Platform as a Service (PAAS), Service-Oriented Architecture, Backend, Containerization, AI Platforms, AngularJS, Kubernetes, Machine Learning Operations, Front End Software Development, Restful APIs, Software Version Control, Data Pipelines, AWS EKS, Microservices
- **Published:** July 21, 2026
- **Apply:** https://clarioclinical.wd1.myworkdayjobs.com/clarioclinical_careers/job/Leuven-Belgium/Full-Stack-Engineer--AI-Platform---RBQM-_R17976

## About the Role

* Solid experience in full stack development (typically ~3-6 years)
 * Strong skills in:
 * Backend development with C# .Net
 * Frontend development Angular
 * Exposure to AWS PaaS
 * Containerization (Kubernetes and AWS EKS)
 * Version control, CI/CD workflows and DevOps practices
 * Experience in PostgreSQL
 * Experience in building and consuming REST APIs
 * Understanding of microservices or service-oriented architectures
 * Ability to work independently in a fast-moving, somewhat ambiguous MVP environment

Nice to have (not required)

 * Basic understanding of MLOps concepts (e.g., model deployment, APIs for inference)
 * Experience in data-heavy applications or analytics platforms
 * Knowledge in Messaging Middleware like RabittMQ
 * Any background in healthcare, life sciences, or regulated environments

## Description

* Build the integration layer for AI solutions
 * Develop services and APIs that enable ML models to be deployed and consumed within the platform
 * Translate data science outputs into production-ready components
 * Full stack application development
 * Implement frontend and backend components for new platform capabilities
 * Ensure clean integration between UI, services, and underlying data pipelines
 * Collaborate across teams
 * Work closely with data scientists, architects, and product stakeholders
 * Help shape how RBQM analytics are exposed and used in practice
 * Contribute to a scalable MVP
 * Build with pragmatism: balancing speed (MVP) with maintainability
 * Improve performance, stability and usability over time
 * Support DevOps / deployment workflows
 * Contribute to CI/CD pipelines and cloud-based deployments
 * Help ensure services are robust and production-ready


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