Senior Full Stack Engineer with AI (Healthcare)

Sigma Software · Romania · posted today ago

engineering javascript python java devops machine-learning

Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.

About this role

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

Senior-level Full-Stack development 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

We are looking for a Senior AI / 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
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.