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# AI Senior Java Full Stack Developer

- **Company:** Tech3pillars Technologies
- **Location:** Lake Mary, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Cloud Engineering, Software Code Optimization, Code Review, Continuous Integration, DevOps, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, Machine Learning, Oracle (Applications), OpenAI, Cloud Services, Software Engineering, Systems Integration, TypeScript, Transaction Processing (Computing), Real-Time Transport Protocol, Enterprise Software Applications, Chatbots, Retrieval-Augmented Generation, System Availability, Large Language Models, Prompt Engineering, Google Vertex AI, Spring-boot, Generative AI, Agentic-AI, Git, Event Driven Architecture, AI Platforms, AngularJS, Kubernetes, ISO 20022 Standard, Apache Kafka, Restful APIs, Docker, Jenkins, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-senior-java-full-stack-developer-va--d57a0d6e-0d65-4b82-a55d-1d1340904cd6

## About the Role

Artificial Intelligence (AI), Java, Software Engineering, Artificial Intelligence (AI), Java, Software Engineering, Customer Experience, AngularJS, Automation, Microservices, The role requires strong hands-on development experience, technical leadership, knowledge of AI/LLM integration, and the ability to work closely with business, product, architecture, DevOps, and data teams in an Agile environment., * 10+ years of experience in Java, Spring Boot, Microservices, Angular, TypeScript, and REST APIs.

 * Strong hands-on experience in the Payments Domain, including ACH, Wire, SWIFT, RTP, ISO 20022, Card Payments, or Merchant Payments.
 * Strong understanding of AI/Generative AI, LLMs, AI APIs, prompt engineering, RAG, and AI integration patterns.
 * Experience integrating LLM/GenAI solutions with Java/Spring Boot applications.
 * Hands-on experience with Kafka, Oracle/PostgreSQL, Docker, Kubernetes, Git, and Jenkins.
 * Experience with cloud platforms such as AWS, Azure, or GCP.
 * Experience with AI/cloud services such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent platforms.
 * Understanding of REST APIs, event-driven architecture, microservices, and cloud-native application development.
 * Strong understanding of payment security, compliance, transaction processing, and data protection.
 * Experience working with AI/ML teams and cross-functional stakeholders.
 * Experience leading Agile teams and participating in technical architecture and design discussions.

## Description

We are seeking an experienced AI Senior Java Full Stack Developer with strong expertise in Java, Spring Boot, Microservices, Angular, AI/GenAI, and Payments Domain. The ideal candidate will design, develop, and deploy enterprise-grade payment applications while leveraging AI/Generative AI capabilities to improve application intelligence, automation, developer productivity, and customer experiences., * Design, develop, and deploy enterprise payment applications using Java, Spring Boot, Microservices, Angular, TypeScript, and REST APIs.

 * Develop and integrate AI/Generative AI capabilities into enterprise applications and payment workflows.
 * Integrate LLMs, AI APIs, and AI-powered services with Java/Spring Boot applications.
 * Build AI-enabled APIs, intelligent automation, chatbots, document processing, and recommendation solutions where applicable.
 * Design secure and scalable REST APIs and event-driven solutions using Kafka.
 * Develop AI-powered solutions using Python or other AI/ML technologies as required.
 * Work with LLM concepts, prompt engineering, RAG, embeddings, vector databases, and AI agents.
 * Integrate enterprise applications with AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent services.
 * Lead technical design discussions, architecture reviews, code reviews, and mentor development teams.
 * Collaborate with business, product, architecture, AI/ML, and DevOps teams to deliver payment modernization and AI transformation initiatives.
 * Ensure application performance, scalability, security, reliability, and high availability.
 * Implement secure AI solutions while considering data privacy, responsible AI, governance, and compliance.
 * Support CI/CD pipelines, cloud deployments, Docker, Kubernetes, and DevOps best practices.
 * Identify opportunities to leverage AI for code optimization, testing, monitoring, fraud detection, transaction analysis, and operational automation.