Senior AI / Java Full-Stack Software Engineer
First seen by Alion on Nov 3, 2026.
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