Senior AI / .NET Full-Stack Software Engineer
Summary
Senior engineer builds AI-enhanced healthcare apps using .NET, React/Angular, and Azure OpenAI, deploying cloud-native services on Kubernetes.
We are looking for a Senior AI / .NET Full-Stack Software Engineer 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 AND PROJECT
Our Customer operates in the medical domain and develops applications for doctors and clinics.
The project combines .NET Full-Stack development, cloud-native engineering, DevOps practices, and the integration of AI-powered capabilities into healthcare applications.
TECHNOLOGY STACK
React, Angular
C#, .NET
Kafka, Terraform
Kubernetes, Helm, ArgoCD
Azure OpenAI or similar AI platforms
RESPONSIBILITIES
Develop and maintain modern web applications using .NET and modern Front-end technologies
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
REQUIREMENTS
Senior-level .NET Full-Stack development experience
Strong Front-end expertise with React or Angular
Strong Back-end expertise in C# and .NET
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