Senior AI / Full-Stack Software Engineer (Healthcare)

  • Full-time

Company Description

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.

TECHNOLOGY STACK

  • React, Angular
  • Java/Spring Boot, Python, C#
  • Kafka, Terraform
  • Kubernetes, Helm, ArgoCD
  • Azure OpenAI or similar AI platforms

 

    Job Description

    • 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

    Qualifications

    • 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

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