Senior Full Stack Engineer with AI (Healthcare)

We are looking for a Senior Full Stack Engineer with AI 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

Requirements

• Senior-level Full-Stack Engineer with 6+ years of commercial 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

Responsibilities

• 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