Sr. Java Full Stack Engineer (RCM &AI) | Hybrid | W2 Profiles

Role: Sr. Java Full Stack Engineer (RCM & AI)

Location: Durham, NC - Hybrid

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade Java applications and microservices.

• Build and enhance healthcare Revenue Cycle Management (RCM) solutions, ensuring scalability and performance.

• Develop and integrate RESTful and SOAP-based APIs with internal and external systems.

• Utilize AI-assisted development tools such as Claude, Cursor, or similar platforms to improve development productivity.

• Design and implement Generative AI solutions using RAG, LLMs, LangChain, vector databases, and related technologies.

• Collaborate with product owners, architects, and business stakeholders to gather requirements and deliver solutions.

• Develop secure and scalable applications using Spring Boot, Spring MVC, Spring Security, Spring Integration, and Spring Core.

• Participate in cloud migration and cloud-native application development using AWS, Azure, or Google Cloud Platform.

• Troubleshoot production issues and optimize application performance.

• Follow Agile/Scrum methodologies and contribute to CI/CD pipelines and DevOps practices.

Required Qualifications

• 7–10  years of hands-on experience in Java development.

• 3  years of experience working within the Revenue Cycle Management (RCM) domain.

• Strong expertise in: Java 8/11/17 , Spring Core, Spring Boot, MVC, Security, Integration

• Advanced experience implementing and consuming: REST APIs, SOAP Web Services

• Experience with AI-assisted development tools such as Claude, Cursor, GitHub Copilot, or equivalent.

• Experience implementing Generative AI solutions using: LLMs, RAG, LangChain, Prompt Engineering, Vector Databases.

• Experience with cloud platforms: AWS, Google Cloud Platform, Azure

• Strong understanding of Microservices Architecture.

• Experience with SQL and NoSQL databases.

• Familiarity with Git, CI/CD pipelines, and DevOps practices.

 

Preferred Qualifications

• Healthcare industry experience.

• Knowledge of healthcare claims, billing, coding, payments, denials, and reimbursement processes.

• Experience with containerization technologies such as Docker and Kubernetes.

• Exposure to event-driven architectures and messaging frameworks.

• Experience working in enterprise-scale distributed systems.