AI Senior Java Full Stack Developer

Tech3pillars Technologies; Virginia Beach (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

Tech3pillars Technologies is seeking an AI Senior Java Full Stack Developer in Lake Mary, FL to design, build, and deploy enterprise-grade payment applications with Java, Spring Boot, Angular, and AI capabilities. You will drive AI-enabled solutions, architectures, and secure API design in a collaborative, agile environment.

The role emphasizes hands-on coding, technical leadership, and integration with AI platforms (Azure/OpenAI, AWS Bedrock, Vertex AI) while ensuring performance, security, and

Qualifications

• 10+ years of experience in Java, Spring Boot, Microservices, Angular, TypeScript, and REST APIs.
• Strong hands-on Payments Domain experience (ACH, Wire, cards, or merchant payments).
• Solid knowledge of AI/GenAI, LLMs, prompt engineering, and AI integration patterns.
• Experience integrating LLM/GenAI solutions with Java/Spring Boot apps.

Responsibilities

• Design, develop, and deploy enterprise payment apps using Java, Spring Boot, Microservices, Angular, TypeScript, and REST APIs.
• Develop and integrate AI/GenAI capabilities into payment workflows and enterprise apps.
• Integrate LLMs and AI services with Java/Spring Boot applications.
• Build AI-enabled APIs, automation, chatbots, and document processing.
• Lead technical design reviews, code reviews, and mentor development teams.
• Collaborate with AI/ML, product, architecture, and DevOps teams on modernization.

Skills

Java

Spring Boot

Microservices

Angular

TypeScript

REST APIs

AI/GenAI

LLMs

Kafka

Docker

Kubernetes

Cloud (AWS/Azure/GCP)

Payments Domain

Tools

Kafka

Docker

Kubernetes

Git

Jenkins

Job description

AI Senior Java Full Stack Developer

Location: Lake Mary, FL

Contract: Long Term

Job 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. 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.

Key Responsibilities

• 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.

Required Skills

• 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.