Full Stack Engineer (m/f/d) - Medical AI-Workflow Platform

IKIM - Institute for Artificial Intelligence in Medicine

Essen

Vor Ort

EUR 52.000 - 70.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Öffentlicher Dienst Tarif (TV-L)
Finanzielle Sicherheit für 3 Jahre
Unterstützung bei der relocation

Zusammenfassung

Ein Forschungsinstitut für Medizintechnologie in Essen sucht einen Full Stack Engineer (m/w/d), der Verantwortung für ein bestehendes Produkt übernimmt und es zu einer professionellen, skalierbaren Plattform weiterentwickelt. Die Rolle erfordert mindestens zwei Jahre Erfahrung in der Full Stack Entwicklung sowie Kenntnisse in modernen UI-Frameworks und Node.js. Wir bieten ein unterstützendes, interdisziplinäres Umfeld, wo Ihre Arbeit direkten Einfluss auf die klinische Praxis hat. Als Teil des Kernteams haben Sie die Möglichkeit, unsere AI-Workflow-Plattform mitzugestalten.

Qualifikationen

  • Mindestens 2 Jahre Berufserfahrung in der Full Stack Entwicklung.
  • Erfahrung mit modernen UI-Frameworks.
  • Grundkenntnisse in Python.
  • Experience with Node.js backend frameworks (Express, Hono).
  • Experience with PostgreSQL or relational DBs.
  • Basic Python skills.
  • Interest in on-premise infrastructure and self-hosted AI models.
  • Familiarity with object storage (S3).
  • Startup mindset and collaborative attitude.

Aufgaben

  • Entwickeln und Pflegen von Webanwendungsfunktionen.
  • Eng mit Clinicians und Forschern zusammenarbeiten.
  • Sauberen, wartbaren Code schreiben.
  • Write clean, maintainable, well-tested code.
  • Participate in code reviews and knowledge sharing.

Kenntnisse

Modern UI Frameworks (shadcn/ui, Tailwind CSS)
Node.js Backend Frameworks (Express, Hono)
Relationale Datenbanken (PostgreSQL)
Python
Startup-Mindset
On-premise Infrastruktur
Selbststarter
Team collaboration

Ausbildung

Bachelor oder Master in Software Engineering, Informatik oder vergleichbare Qualifikation

Tools

Tailwind CSS
Express/Hono
S3-compatible storage
Tauri (optional)

Jobbeschreibung

Full Stack Engineer (m/f/d) - Medical AI-Workflow Platform

Direct message the job poster from IKIM - Institute for Artificial Intelligence in Medicine.

The Institut für Künstliche Intelligenz in der Medizin (IKIM) at Universitätsklinikum Essen is building the AI infrastructure layer for clinical workflows. We combine SaaS products (like our deployed dictation app), API licensing, and custom consulting solutions to modernize healthcare. We handle the entire stack from on-premise hardware and self-hosted AI models to the user-facing web application.

The Role

We are seeking a Full Stack Engineer to take ownership of our existing, successful prototype and refine it into a professional, scalable platform. You won't be starting from scratch; you'll be improving a working product that already handles dictation, phone integration, and translation, taking it to the next level of stability and user experience. As part of our core team, you’ll have a hand in every layer, from the web stack to the on-premise AI infrastructure. Our ideal teammate is proactive, driven by curiosity, and motivated to solve meaningful problems in healthcare.

Your Responsibilities
  • Develop and maintain web application features across the full stack
  • Collaborate closely with clinicians and researchers to translate requirements into technical solutions
  • Contribute to architecture decisions and technical direction
  • Write clean, maintainable, and well-tested code
  • Participate in code reviews and knowledge sharing within the team
What We're Looking For
  • Degree: Bachelor's or Master's in Software Engineering, Computer Science, or comparable qualification
  • Minimum 2 years of professional experience in full stack development
  • Experience with modern UI frameworks (shadcn/ui, Tailwind CSS preferred)
  • Experience with Node.js Backend Frameworks (Express, Hono or similar)
  • Experience with relational databases (PostgreSQL preferred)
  • Basic Python
  • Experience with Tauri (optional)
  • Experience with or interest in on-premise infrastructure and self-hosted AI models
  • Familiarity with object storage solutions (S3 or similar)
  • Startup mindset
  • Self-starter, low-ego, collaborative
What We Offer
  • Salary: Public service wage scale (TV-L)
  • Funding Security: Position funded for 3 years
  • Founding Member Opportunity: Be part of the core team professionalizing the product
  • We will support relocation
  • Collaborative, interdisciplinary environment at the intersection of AI and medicine
  • Meaningful work with direct impact on clinical practice
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Research Services

Location: Essen, North Rhine-Westphalia, Germany

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