Senior Full-Stack Engineer With AI (Healthcare) at Sigma Software | Torre
Senior Full-Stack Engineer With AI (Healthcare)
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Sigma Software

Senior Full-Stack Engineer With AI (Healthcare)

Sigma Software
Emma
Emma
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Full-time

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Remote (for Romania residents)
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Emma of Torre.ai
 about 1 month ago

Responsibilities

Company DescriptionWe 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.CUSTOMEROur Customer operates in the medical domain and develops applications for doctors and clinics.PROJECTThe project combines Full-Stack development, cloud-native engineering, DevOps practices, and the integration of AI-powered capabilities into healthcare applications.TECHNOLOGY STACKReact, AngularJava/Spring Boot, Python, C#Kafka, TerraformKubernetes, Helm, ArgoCDAzure OpenAI or similar AI platformsJob DescriptionDevelop and maintain modern web applicationsDesign, develop, and integrate AI-powered features into business applicationsBuild AI agents, intelligent workflows, and automation solutionsWork with modern LLM platforms and AI development toolsBuild and operate cloud-native services with a strong focus on reliability, security, and scalabilityCollaborate with Product, UX, Architecture, and Engineering teamsDrive engineering excellence and AI adoption within development teamsQualificationsSenior-level Full-Stack Engineer with 6+ years of commercial experience.Strong Front-end expertise with React or AngularStrong 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 productsPractical experience building AI agents, intelligent workflows, or automation solutionsPractical experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI or similarExperience with cloud-native architectures and DevOps practicesDemonstrated practical use of AI tools in software engineeringDegree in Computer Science or an equivalent technical backgroundStrong English communication skills
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