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16 дней назад

Fullstack Engineer (AI)

Формат работы
remote (только Belgium)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Fullstack Engineer (C# .Net / Angular): Developing an integration layer to turn AI-driven RBQM solutions for cardiology into production-ready products with an accent on bridging the gap between machine learning and clinical application. Focus on building scalable APIs, developing full-stack components for the NXT platform, and ensuring robust deployment workflows.

Location: Leuven, Belgium (Remote or Hybrid)

Company

hirify.global, part of Thermo Fisher Scientific, focuses on transforming lives by unlocking better evidence through clinical science and innovative technology.

What you will do

  • Build the integration layer and develop services and APIs that enable ML models to be deployed and consumed within the platform.
  • Develop full-stack application components using C# .Net and Angular for new platform capabilities.
  • Collaborate with data scientists, architects, and product stakeholders to translate AI outputs into production-ready components.
  • Contribute to a scalable MVP for RBQM analytics, balancing speed with maintainability.
  • Support DevOps and deployment workflows, including CI/CD pipelines and cloud-based deployments on AWS.
  • Ensure clean integration between UI, services, and underlying data pipelines while improving system stability.

Requirements

  • 3–6 years of experience in full-stack development.
  • Strong skills in backend development with C# .Net and frontend development with Angular.
  • Experience with AWS PaaS, Kubernetes, and AWS EKS.
  • Proficiency with PostgreSQL and building/consuming REST APIs.
  • Understanding of microservices or service-oriented architectures.
  • Must be based in or able to work from Belgium (Remote or Hybrid).

Nice to have

  • Basic understanding of MLOps concepts (model deployment, inference APIs).
  • Experience in data-heavy applications or analytics platforms.
  • Knowledge of messaging middleware such as RabbitMQ.
  • Background in healthcare, life sciences, or regulated environments.

Culture & Benefits

  • Competitive compensation and attractive benefits package.
  • Emphasis on security, flexibility, support, and overall well-being.
  • Flexible work arrangements with remote or hybrid options.

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