Senior AI / Java Full-Stack Software Engineer

Location: Bucharest, Romania

Work format: Remote

Employment type: Full-time

We are looking for a Senior AI / Java 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 Java 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

Kafka, Terraform

Kubernetes, Helm, ArgoCD

Azure OpenAI or similar AI platforms

RESPONSIBILITIES

Develop and maintain modern web applications using Java, Spring Boot, 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 Java Full-Stack development experience

Strong Front-end expertise with React or Angular

Strong Back-end expertise in Java and Spring Boot

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