Senior Full Stack Engineer with AI (Healthcare)

Bucharest, Bucharest, ro · Remote · Full-time · BU002 (KwwjY)

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About the role

SpringLLMsPythonJavaC#ReactAngularAzureKafkaKubernetesTerraformUX Design

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  - 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 - 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