ROLE OVERVIEW
We are looking for a Senior AI Software Engineer Full Stack to design, build, and operate modern web applications and AI-powered solutions for the healthcare domain.
In this role, you will work across Front-end, Back-end, and DevOps, building AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows. You will also contribute to cloud-native services and help drive the adoption of modern AI engineering practices within the team.<\/p>\n
CUSTOMER AND PROJECT
Our Customer is a leading provider of software solutions for the healthcare sector, operating across 19 countries with more than 9,000 employees.
The project focuses on developing and operating modern SaaS applications used in the healthcare domain. You will work on integrating AI-powered capabilities into products for clinicians and patients, while also contributing to cloud-native architecture, reliability, security, and developer productivity.
The role combines Java Full-Stack development, AI engineering, cloud-native technologies, and DevOps, with a strong focus on building practical AI features and agentic experiences that deliver real value to healthcare users.<\/p>\n
TECHNOLOGY STACK
Java, Spring Boot
React, Angular
Kafka, Terraform
Kubernetes, Helm, ArgoCD
Azure OpenAI, Anthropic SDK, MCP
LLMs, AI agents, skills, workflows, AI pipelines and context engineering<\/p>\n
RESPONSIBILITIES
Design, develop, and operate modern web applications across Front-end and Back-end
Develop scalable backend services using Java and Spring Boot
Build AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows
Develop AI agents, skills, and intelligent workflows that deliver practical value to healthcare users
Design, evolve, and operate cloud-native services with a strong focus on reliability, security, and scalability
Work with modern AI development tools and contribute to shared AI agents, skills, pipelines, and engineering workflows
Collaborate closely with Product Management, UX, Architects, and other Engineering teams
Contribute to engineering excellence and the adoption of modern AI engineering practices within the team
Stay close to users and understand healthcare workflows to deliver outcome-driven solutions<\/p>\n
REQUIREMENTS
Several years of Senior-level Full-Stack development experience
Strong commercial experience with Java and Spring Boot
Solid Front-end expertise with React or Angular
Experience with Kafka and Terraform
Experience with cloud-native architectures and DevOps practices
Hands-on experience with Kubernetes, Helm, and ArgoCD
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
Experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI, Anthropic SDK, or MCP
Demonstrated practical use of AI tools in software engineering
Experience with AI agents, skills, workflows, AI pipelines, or context engineering is a strong plus
Degree in Computer Science, Software Engineering, or a comparable technical field
Strong problem-solving, innovation, and proactive mindset
Strong English communication skills<\/p>\n
LANGUAGE REQUIREMENTS
English: B2 Upper-Intermediate or above<\/p>\n","protected":false},"excerpt":{"rendered":"
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