We are seeking an AI Engineer (Full Stack Java) to help build the next generation of AI-enabled healthcare applications as part of a major modernization of legacy systems.
This role will focus on building AI-powered user experiences and backend services that integrate machine learning, LLMs, and intelligent automation into modern healthcare workflows.
You will work across the full stack—from building Java-based backend services to developing modern React-based front-end applications, enabling AI-driven capabilities across the platform.
Responsibilities
- Design and build AI-enabled applications that enhance healthcare workflows and operational systems
- Develop backend services using Java and Spring Boot within a microservices architecture.
- Build modern React-based user interfaces that surface AI insights and automation.
- Integrate machine learning models, LLMs, and AI services into application workflows.
- Develop and maintain APIs and microservices supporting AI-driven features
- Collaborate with data engineers and ML engineers to integrate models into production systems.
- Participate in the modernization of legacy applications into scalable cloud-native services.
- Work across the stack to improve performance, scalability, and reliability
- Contribute to architectural decisions and engineering best practices.
Required Experience
- 5–8 years of professional software engineering experience
- Strong backend development experience with Java and Spring Boot
- Experience building microservices-based architectures
- Modern front-end experience with React
- Experience designing and consuming REST APIs
- Experience working in cloud environments (AWS, Azure, or GCP)
- Familiarity with AI/ML integrations, LLM APIs, or AI-powered features
- Experience working with modern DevOps and CI/CD practices
- Strong collaboration and communication skills in a distributed team
Preferred Experience
- Experience building AI-enabled products or intelligent applications
- Exposure to LLM platforms (OpenAI, LangChain, vector databases, RAG architectures)
- Experience in modernizing legacy enterprise systems
- Familiarity with healthcare systems or regulated environments
- Experience with event-driven architectures and distributed systems
- Experience working in Agile development environments
