Job description

Senior JAVA developer with Generative AI Experience Must Have Technical/Functional Skills • Strong expertise in Java 11/17/21 and Object-Oriented Programming (OOP) • Hands-on experience with Spring Boot, Spring MVC, Spring Security, and Hibernate/JPA • Extensive experience in designing and developing Microservices Architecture • Strong understanding of GCP Cloud Platforms • Hands-on experience with Generative AI / Large Language Models (LLMs) • Understanding of Responsible AI, AI Governance, Security, and Compliance Roles & Responsibilities • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Microservices architecture. • Develop and enhance Generative AI-powered solutions such as chatbots, virtual assistants, document intelligence, and knowledge management platforms. • Integrate Large Language Models (LLMs) and AI services (Claude) into existing and new applications. • Evaluate emerging AI technologies and recommend innovative solutions to improve business processes. • Ensure compliance with Responsible AI, data privacy, governance, and enterprise security requirements. • Participate in Agile ceremonies, sprint planning, estimation, and delivery activities. • Create and maintain technical documentation, architecture diagrams, and operational runbooks Salary Range- $110,000-$130,000 a year #LI-SP3 #LI-VX1

Requirements

Must-haves

Senior JAVA developer with Generative AI Experience
Must Have Technical/Functional Skills
Strong expertise in Java 11/17/21 and Object-Oriented Programming (OOP)
Hands-on experience with Spring Boot, Spring MVC, Spring Security, and Hibernate/JPA
Extensive experience in designing and developing Microservices Architecture
Strong understanding of GCP Cloud Platforms
Hands-on experience with Generative AI / Large Language Models (LLMs)
Understanding of Responsible AI, AI Governance, Security, and Compliance
Roles & Responsibilities
Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Microservices architecture.
Develop and enhance Generative AI-powered solutions such as chatbots, virtual assistants, document intelligence, and knowledge management platforms.
Integrate Large Language Models (LLMs) and AI services (Claude) into existing and new applications.
Evaluate emerging AI technologies and recommend innovative solutions to improve business processes.
Ensure compliance with Responsible AI, data privacy, governance, and enterprise security requirements.
Participate in Agile ceremonies, sprint planning, estimation, and delivery activities.
Create and maintain technical documentation, architecture diagrams, and operational runbooks

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javaaigcpagile

Platform: careers-page
Effort: medium