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# Java Full Stack Developer with AI capabilities to develop & Integrate AI Agents - Lake Mary, FL

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Salary:** $61,087.0 - $104,364.0
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cascading Style Sheets (CSS), Cloud Computing, Software Quality, Code Review, Databases, DevOps, Monitoring of Systems, PostgreSQL, Enterprise Messaging Systems, MySQL, Oracle (Applications), Scrum Methodology, Systems Architecture, Prompt Engineering, Spring-boot, Backend, Amazon Relational Database Service, AngularJS, Apache Kafka, Data Management, Front End Software Development, Functional Programming, Restful APIs, Stream Processing, Microservices
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=731b17c1bdc24939

## About the Role

Do you have experience in Spring Boot?

## Description

We are looking for a highly skilled Full Stack Developer with AI capabilities who can build scalable backend systems and intelligent applications.
The ideal candidate should have expertise in Core Java, Spring Boot, AI agents, and prompt engineering, along with exposure to frontend technologies, messaging systems, databases, and AWS cloud services.
This role involves developing end-to-end solutions combining microservices and AI-driven features.

Design, develop, and maintain scalable backend applications using Core Java, Spring Boot
Build and expose secure, high-performance RESTful APIs and microservices
Develop and integrate AI agents using prompt engineering techniques
Work on frontend development using Angular, HTML, CSS, ensuring responsive and user-friendly UI
Collaborate with UX/UI teams to deliver seamless user experiences
Integrate with messaging systems like Kafka and MQ for real-time data processing
Work with databases including Oracle, PostgreSQL, and MySQL for efficient data management
Deploy and manage applications in AWS cloud environments (EC2, S3, Lambda, RDS, etc.)
Implement CI/CD pipelines and monitor system performance
Optimize applications for performance, scalability, and reliability
Ensure code quality through testing, code reviews, and best practices
Troubleshoot and resolve production issues and system bottlenecks
Collaborate with cross-functional teams including frontend, backend, DevOps, and product stakeholders
Participate in Agile/Scrum ceremonies such as sprint planning, stand-ups, and retrospectives
Maintain proper technical documentation for system architecture, APIs, and workflows
Stay updated with emerging technologies in AI, cloud computing, and full stack development


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