Software Engineer (Clinical AI Devices)

Aidence

Rotterdam

Hybrid

EUR 90,000 - 120,000

Full time

3 days ago
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Job summary

Aidence, a leader in clinical AI, seeks a Software Engineer to develop and maintain software for medical devices across X-Ray, CT, MRI, and Mammography. You will wrap AI models in containers, ensure proper validation, and integrate with diverse systems.

The role emphasizes producing robust tests, collaborating with product and team leads, and delivering end-to-end features. The ideal candidate has 5+ years in similar roles, strong Java/Spring Boot experience, Docker/Kubernetes, and familiarity

Qualifications

  • 5+ years in a similar or related role.
  • Experience with Java and Spring Boot.
  • Experience with Docker, Kubernetes, and cloud platforms (GCP/AWS).
  • Familiar with test-driven development and JUnit.
  • Strong regulatory/compliance mindset in MedTech.

Responsibilities

  • Build and maintain software in the Clinical AI domain.
  • Wrap deep learning models into containerized medical devices.
  • Interface product logic with serving platform; validate and route requests.
  • Collaborate on design, implement features, and maintain tests.
  • Own features end-to-end from refinement to production; manage risks.

Skills

English (fluent)
JUnit
CI/CD
Docker
Kubernetes
Spring Boot
Cloud platforms (GCP/AWS)
Java
MedTech / DICOM experience
Agentic Coding tools (Claude, Cursor)
Microservices

Education

Bachelor’s or Master’s in CS/biomedical engineering or similar

Tools

DICOM data handling

Job description

  • In the Clinical AI Devices team, the Software Engineer is primarily responsible for building and maintaining software in the Clinical AI domain, from wrapping deep learning models into containerized medical devices, to integration with other systems
  • This work spans all of the company’s medical devices, across the main radiology modalities: X-Ray, CT, MRI, and Mammography
  • The focus of the current role is at the interface between product logic and the underlying serving platform, ensuring that requests are correctly validated, routed, and that results are properly assembled and returned
  • Participate in the software development process: design, refine, and develop new features, and maintain existing ones
  • Write code, review teammates’ code, and contribute to the testing framework through automated and manual tests. Work with the team lead and product manager to refine requirements
  • Own features and projects end‑to‑end, from refinement to production. Flag risks and bugs by keeping the radiologist’s workflow in mind. Support service and delivery teams with production issues
  • Ensure compliance with Quality and Regulatory requirements throughout the development cycle, including technical documentation (e.g. implementation specs), cybersecurity processes, and risk analysis
  • Collaborate with the team on strategic recommendations and improvements to technology and business
  • PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned, and management retains the right to add or change duties at any time

Experience working with Agentic Coding tools like Claude and Cursor (preferred)Experience working with microservices and distributed systems (preferred)Fluent in English (required)Familiar with test‑driven development and testing frameworks like JUnit (required)Accustomed to CI/CD practice (required)Bachelor’s or Master’s Degree in a related field such as computer science, biomedical engineering or similar (required)Experience working with docker, cloud platforms such as GCP or AWS, and Kubernetes (required)At least 5 years of experience working with Java, with proficiency in Spring Boot (required)Experience in the MedTech field, e.g. working with DICOM data, AI algorithms, and clinical workflows (preferred)Experience (required): at least 5 years of experience in a similar or related relevant roleStrong analytical mindsetAbility to make well‑reasoned trade‑offs between velocity and quality, understanding when to work for higher quality and when to optimize for time‑to‑marketNot afraid of working inside a strong regulatory framework and disciplined about testing needsYou collaborate openly, support your colleagues, and contribute to shared success

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