AI Engineer building generative and agentic AI solutions for Trillium Health Partners’ hospital workflows. Connecting intelligent agents to clinical systems and scaling responsible healthcare automation.
LP
JAVA DEVELOPER AI
Posted via LinkedIn Recruiter (not a company profile)
Posted 7 months ago
About the role
- Design API integrations for email data exchange. Troubleshoot issues and collaborate with teams on scalable, secure containerized applications with Java and AI skills.
Responsibilities
- Design and document robust API integrations to facilitate email data exchange between Client and 3rd party vendor APIs. Create detailed specification and documentation for APIs including endpoint definition, request response formats, authentication mechanism and error handling procedures. Troubleshoot and debug integration problems, working closely with development teams and 3rd party vendor teams. Collaborate closely with product owner, business analysts as well as business users including compliance audit teams. Develop a deep understanding of email message attributes and ways of processing thousands of messages per second in a fault tolerant, resilient and scalable manner. Ensure Security and efficiency of Containerized application. Conduct performance testing and optimization of containerized application. Provide technical Support and Guidance to other Team members. Provide Level 2 support as needed.
Requirements
- Core Development skills: Analytical and Problem-Solving Aptitude, Major Design Patterns, Common Data Structure and Algorithms. Java Skills – 8 Years: Java Streams, Collections, Multithreading, Spring Boot, Unit and Integration Testing in Spring Boot, JPA, Java Security, Spring Cloud Configurations and Deployment on Kubernetes. DevOps experience with continuous integration delivery best practices, technologies and tools such as GitHub, Jenkins, Nexus, JIRA, Confluence, Ansible, SonarQube, Checkmarx, Apache, James, Flume, Airflow, Kubernetes Concepts and Components. Generative AI Skills – 2 Years: Machine Learning Fundamentals, Familiarity with common ML/DL models, Prototype, build, test and deploy products powered by GenAI/LLM technology on a large scale, In depth Understanding of MCP Protocol, Prompt Engineering Skills, Developing MCP Client and Servers and integrating with the UI Clients. Preferred skills: Big Data Messaging JMS or Kafka, Enterprise Integration Architecture Patterns, Understanding of Scalable Architectures.
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