Full Stack Engineer — AI Platform for RBQM (Remote)

Clario Holdings Inc.; Town of Belgium (WI); On-site; USD 92,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Remote or hybrid working

Benefits: security, flexibility, and.w

Well-being support

Job summary

Clario is seeking a Full Stack Engineer to bridge AI-driven RBQM solutions with production-ready platforms. You’ll build the last mile between machine learning and clinical application, delivering scalable, reliable software for trial teams.

You will work on backend and frontend development, deploy in AWS, and collaborate with data scientists, architects, and product stakeholders to shape RBQM analytics and MVP deployments.

Qualifications

• Solid experience in full stack development (typically ~3–6 years).
• 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 MVP environment.

Responsibilities

• Build the integration layer for AI solutions and services.
• Develop APIs and services enabling ML models to be deployed on the platform.
• Translate data science outputs into production-ready components.
• Perform full stack application development across UI and backend.
• Implement frontend and backend components for new platform capabilities.
• Ensure clean integration between UI, services, and data pipelines.
• Collaborate with data scientists, architects, and product stakeholders.
• Contribute to scalable MVP and CI/CD pipelines.

Skills

Full stack development

C# .NET

Angular

AWS PaaS

Kubernetes

AWS EKS

CI/CD

PostgreSQL

REST APIs

Microservices

MVP environment

Tools

RabbitMQ

Docker

Job description

Clario is seeking a Full Stack Engineer to bridge AI-driven RBQM solutions with production-ready platforms. You’ll build the last mile between machine learning and clinical application, delivering scalable, reliable software for trial teams.

You will work on backend and frontend development, deploy in AWS, and collaborate with data scientists, architects, and product stakeholders to shape RBQM analytics and MVP deployments.