Senior AI / Java Full-Stack Software Engineer
Short-Term Contract
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.
Please note that this is a short-term contract engagement. Depending on project needs, budget availability, and mutual agreement, the contract may potentially be extended. However, a further extension cannot be guaranteed at this stage.
CUSTOMER AND PROJECT
Our Customer operates in the healthcare 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 or 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 reliable, secure, and scalable cloud-native services
- Participate in architectural and technical decision-making
- Collaborate with Product, UX, Architecture, and Engineering teams
- Promote engineering excellence and practical 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
ENGAGEMENT DETAILS
- Short-term contract engagement
- Potential contract extension may be considered depending on project needs, budget availability, and mutual agreement
- Contract extension is possible but cannot be guaranteed