AI Senior Java Full Stack Developer

Tech3pillars Technologies

  • NULL, VA
  • 28 days ago

    Highlights

    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.

    Numbers & Facts

    LocationNULL, VA

    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.

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