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Senior Full Stack Engineer with AI (Healthcare)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Full Stack Engineer with AI (Healthcare) (React/Angular, Java/Spring Boot, Python/C#, Kubernetes, LLM): Building and operating cloud-based healthcare applications with an accent on full-stack development, cloud-native architecture, and AI-powered features for doctors and clinics. Focus on designing AI agents and intelligent workflows, integrating modern LLM platforms, and ensuring reliability, security, and scalability.
Location: Europe, Romania
Company
Software engineering services are provided for a healthcare customer developing applications for doctors and clinics.
What you will do
- Develop and maintain modern web applications across front-end, back-end, and DevOps domains.
- Design and integrate AI-powered features into healthcare business applications.
- Build AI agents, intelligent workflows, and automation solutions.
- Work with modern LLM platforms and AI development tools, including Azure OpenAI or similar services.
- Build and operate cloud-native services with a focus on reliability, security, and scalability.
- Collaborate with Product, UX, Architecture, and Engineering teams while driving AI adoption and engineering excellence.
Requirements
- Senior-level Full-Stack Engineering experience 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, automation solutions, and using modern LLM ecosystems.
- Experience with cloud-native architectures and DevOps practices, plus a Computer Science degree or equivalent technical background; strong English communication skills are required.
Culture & Benefits
- Work across Product, UX, Architecture, and Engineering functions.
- Contribute to engineering excellence and the adoption of AI tools within development teams.
- Use a modern technology stack including React, Angular, Java, Spring Boot, Python, C#, Kafka, Terraform, Kubernetes, Helm, ArgoCD, Azure, and OpenAI or similar AI platforms.
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