Posted 14 days ago
Senior Full Stack Engineer with AI (Healthcare)
AI Summary
Senior Full Stack Engineer with AI to design, develop, and operate cloud-based healthcare applications, integrating AI-powered features and working across front-end, back-end, and DevOps.
About this role
Senior Full Stack Engineer with AI (Healthcare)
We are looking for a Senior Full Stack Engineer with AI to help design, develop, and operate modern cloud-based applications for the healthcare domain.
In this role, you will work across Front-end, Back-end, and DevOps domains while designing and integrating AI-powered features into business applications used by doctors and clinics. The position requires hands-on commercial experience with modern AI and LLM technologies.
CUSTOMER
Our Customer operates in the medical domain and develops applications for doctors and clinics.
PROJECT
The project combines Full-Stack development, cloud-native engineering, DevOps practices, and the integration of AI-powered capabilities into healthcare applications.
TECHNOLOGY STACK
- React, Angular
- Java/Spring Boot, Python, C#
- Kafka, Terraform
- Kubernetes, Helm, ArgoCD
- Azure OpenAI or similar AI platforms
- Develop and maintain modern web applications
- Design, develop, and integrate AI-powered features into business applications
- Build AI agents, intelligent workflows, and automation solutions
- Work with modern LLM platforms and AI development tools
- Build and operate cloud-native services with a strong focus on reliability, security, and scalability
- Collaborate with Product, UX, Architecture, and Engineering teams
- Drive engineering excellence and AI adoption within development teams
Qualifications
- Senior-level Full-Stack Engineer with 6+ years of commercial experience.
- Strong Front-end expertise with React or Angular
- Strong Back-end expertise in Java/Spring Boot, Python, or C#
- At least 1 year of hands-on commercial experience developing and integrating AI-powered features into software products
- Practical experience building AI agents, intelligent workflows, or automation solutions
- Practical experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI or similar
- Experience with cloud-native architectures and DevOps practices
- Demonstrated practical use of AI tools in software engineering
- Degree in Computer Science or an equivalent technical background
- Strong English communication skills
Skills
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