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

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