Senior Full Stack Engineer with AI (Healthcare)

Job description

We are looking for a Senior Full Stack Engineer with AI (Healthcare) 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

- Java/Spring Boot, Python, C#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