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Fullstack Engineer (RnD)(m/w/x)
Bridging ML algorithms with clinician-facing interfaces and APIs for automated hospital case billing. Minimum 3 years of fullstack application development and end-to-end feature ownership required. Cross-team knowledge sharing, regular technical workshops, and modern tech stack.
Requirements
- 3+ years experience building fullstack applications
- Pride in clean, well-tested code
- End-to-end ownership and user-centric thinking
- Collaboration across diverse teams and areas
- Eagerness to learn ML and MLOps
- Team player with strong feedback skills
- 3+ years professional fullstack engineering experience
- Strong experience with TypeScript and React
- Experience with JVM-based stack, ideally Kotlin
- Experience with GraphQL and schema design
- Interest in system stability and infrastructure
- Good comprehension of German (~ B1)
- Experience with Python and FastAPI (desirable)
- Experience with LLMs, ML, and MLOps
- Experience with Kubernetes, Helm, and Terraform
- Experience with RabbitMQ and Apache Airflow
Tasks
- Bridge ML algorithms with clinician-facing products
- Collaborate with research engineers and medical experts
- Interview users to identify product needs
- Design and build interfaces, APIs, and infrastructure
- Own features from ideation to production shipping
- Maintain clean architecture and scalable systems
- Manage and resolve technical debt
- Support ML infrastructure and MLOps initiatives
- Review bug reports and implement fixes
- Sketch UI designs for new model features
- Refactor GraphQL schemas for API performance
- Demo interfaces to product and medical experts
- Iterate on features based on user feedback
- Optimize Kubernetes deployment configurations for resilience
- Develop database tables and GraphQL mutations
- Integrate model endpoints into the frontend
- Maintain codebase quality and technical documentation
Work Experience
- 2 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Basic
Tools & Technologies
- TypeScript
- React
- JVM
- Kotlin
- GraphQL
- Python
- FastAPI
- LLMs
- Machine Learning
- MLOps
- Kubernetes
- Helm
- Terraform
- RabbitMQ
- Apache Airflow
Benefits
Informal Culture
- Culture of active feedback
- Open discussions
Modern Equipment
- Use of new technologies
Other Benefits
- Cross team knowledge sharing
Team Events
- Team workshops
- Board game evenings
- Canoe trips
- Regular team activities
Flexible Working
- Flexible workday
Additional Allowances
- Home office equipment costs
Startup Environment
- Co-working space membership
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Fullstack Engineer (RnD)(m/w/x)
Bridging ML algorithms with clinician-facing interfaces and APIs for automated hospital case billing. Minimum 3 years of fullstack application development and end-to-end feature ownership required. Cross-team knowledge sharing, regular technical workshops, and modern tech stack.
Requirements
- 3+ years experience building fullstack applications
- Pride in clean, well-tested code
- End-to-end ownership and user-centric thinking
- Collaboration across diverse teams and areas
- Eagerness to learn ML and MLOps
- Team player with strong feedback skills
- 3+ years professional fullstack engineering experience
- Strong experience with TypeScript and React
- Experience with JVM-based stack, ideally Kotlin
- Experience with GraphQL and schema design
- Interest in system stability and infrastructure
- Good comprehension of German (~ B1)
- Experience with Python and FastAPI (desirable)
- Experience with LLMs, ML, and MLOps
- Experience with Kubernetes, Helm, and Terraform
- Experience with RabbitMQ and Apache Airflow
Tasks
- Bridge ML algorithms with clinician-facing products
- Collaborate with research engineers and medical experts
- Interview users to identify product needs
- Design and build interfaces, APIs, and infrastructure
- Own features from ideation to production shipping
- Maintain clean architecture and scalable systems
- Manage and resolve technical debt
- Support ML infrastructure and MLOps initiatives
- Review bug reports and implement fixes
- Sketch UI designs for new model features
- Refactor GraphQL schemas for API performance
- Demo interfaces to product and medical experts
- Iterate on features based on user feedback
- Optimize Kubernetes deployment configurations for resilience
- Develop database tables and GraphQL mutations
- Integrate model endpoints into the frontend
- Maintain codebase quality and technical documentation
Work Experience
- 2 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Basic
Tools & Technologies
- TypeScript
- React
- JVM
- Kotlin
- GraphQL
- Python
- FastAPI
- LLMs
- Machine Learning
- MLOps
- Kubernetes
- Helm
- Terraform
- RabbitMQ
- Apache Airflow
Benefits
Informal Culture
- Culture of active feedback
- Open discussions
Modern Equipment
- Use of new technologies
Other Benefits
- Cross team knowledge sharing
Team Events
- Team workshops
- Board game evenings
- Canoe trips
- Regular team activities
Flexible Working
- Flexible workday
Additional Allowances
- Home office equipment costs
Startup Environment
- Co-working space membership
About the Company
DAMEDIC GmbH
Industry
Healthcare
Description
Das Unternehmen übernimmt den kompletten Prozess der Fallabrechnung für Krankenhäuser und kombiniert KI-basierte Software mit menschlicher Expertise.
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