Full-Stack Engineer – AI Platform

Clario, part of Thermo Fischer Scientific, is looking for a Full Stack Developer. This role sits at a very practical and impactful intersection: you won’t build AI models—but you will make them usable in the real world. We are developing an MVP on our platform (NXT) to onboard AI-driven RBQM (Risk-Based Quality Management) solutions in cardiology. These solutions are created by data scientists and domain experts but without the right engineering layer, they never reach end users. That is where you come in. You will help build the “last mile” between machine learning and clinical application, turning models into reliable, scalable and usable products that support clinical trial teams in making better decisions. What We Offer Competitive compensationAttractive benefits (security, flexibility, support and well-being)Remote or hybrid working What You'll Be Doing Build the integration layer for AI solutionsDevelop services and APIs that enable ML models to be deployed and consumed within the platformTranslate data science outputs into production-ready componentsFull stack application developmentImplement frontend and backend components for new platform capabilitiesEnsure clean integration between UI, services, and underlying data pipelinesCollaborate across teamsWork closely with data scientists, architects, and product stakeholdersHelp shape how RBQM analytics are exposed and used in practiceContribute to a scalable MVPBuild with pragmatism: balancing speed (MVP) with maintainabilityImprove performance, stability and usability over timeSupport DevOps / deployment workflowsContribute to CI/CD pipelines and cloud-based deploymentsHelp ensure services are robust and production-ready What we are looking for Solid experience in full stack development (typically ~3–6 years)Strong skills in:Backend development with C# .NetFrontend development AngularExposure to AWS PaaSContainerization (Kubernetes and AWS EKS)Version control, CI/CD workflows and DevOps practicesExperience in PostgreSQLExperience in building and consuming REST APIsUnderstanding of microservices or service-oriented architecturesAbility 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 platformsKnowledge in Messaging Middleware like RabittMQAny background in healthcare, life sciences, or regulated environments At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.