Java Full Stack Developer

Inabia Software & Consulting Inc.

  • New York City, NY
  • 27 days ago

    Highlights

    Key Responsibilities Deliver production-grade solutions integrating agentic AI, large and small language models (LLMs/SLMs), Model Context Protocol (MCP), retrieval-augmented generation (RAG), agent orchestration frameworks, and automation. Inabia Solutions & Consulting Inc. is seeking experienced Java Full Stack Developers to build cloud-native applications and production-grade AI capabilities for a financial services client.

    Numbers & Facts

    LocationNew York City, NY
    Websitehttps://www.inabia.com/

    Description

    Java Full Stack Developer

    • Employer: Inabia Solutions & Consulting Inc.
    • Locations: New York City, NY | Plano, TX | Columbus, OH
    • Work Arrangement: 100% onsite
    • Employment Type: Long-term W-2 Contract
    • Compensation: $50- $55.00 per hr.

    About the Opportunity
    Inabia Solutions & Consulting Inc. is seeking experienced Java Full Stack Developers to build cloud-native applications and production-grade AI capabilities for a financial services client.
    You will develop end-to-end solutions using React and TypeScript/JavaScript, Java/Spring Boot microservices, and AWS. The role requires hands-on experience integrating agentic AI into applications, with a focus on secure, reliable operation in production.
    This engagement offers potential for direct full-time employment with the client after 9–12 months, based on performance and business needs. Conversion is not guaranteed.
    Key Responsibilities
    • Deliver production-grade solutions integrating agentic AI, large and small language models (LLMs/SLMs), Model Context Protocol (MCP), retrieval-augmented generation (RAG), agent orchestration frameworks, and automation.
    • Build end-to-end application capabilities using React with TypeScript/JavaScript on the front end and Java/Spring Boot microservices on the back end.
    • Design, deploy, and operate scalable, event-driven microservices on AWS using Docker, Kubernetes, serverless compute, and messaging patterns.
    • Build and maintain CI/CD pipelines using tools such as Jenkins and Spinnaker.
    • Develop automated tests, evaluate AI workflows, and conduct performance and load testing using tools such as BlazeMeter.
    • Implement production observability and monitoring using tools such as Splunk and Dynatrace to investigate issues and maintain application stability.
    • Partner with product, design, data, architecture, and risk/control stakeholders to deliver secure, stable, and scalable AI solutions that address business needs.
    • Participate in code reviews, troubleshoot production issues, and communicate technical decisions and delivery progress clearly.
    Required Qualifications
    • 8+ years of hands-on Java Full Stack development experience.
    • Strong expertise in Java, Spring Boot, microservices, and REST API development.
    • Hands-on React development experience using TypeScript/JavaScript, HTML, and CSS.
    • Practical experience integrating LLMs/SLMs, RAG, MCP, and agent orchestration frameworks into applications.
    • Experience developing and operating cloud-native applications on AWS.
    • Hands-on experience with Docker, Kubernetes, serverless compute, and event-driven messaging patterns.
    • Experience building or maintaining CI/CD pipelines using Jenkins, Spinnaker, or comparable tools.
    • Experience with automated testing, performance testing, and load testing.
    • Experience using production monitoring and observability tools such as Splunk and Dynatrace.
    • Ability to apply security, access controls, data protection, and operational reliability practices to AI-enabled applications.
    • Strong problem-solving and communication skills, including experience working with client stakeholders.
    • Ability to work 100% onsite in New York City, Plano, or Columbus.
    • U.S. citizen or Green Card holder. Visa sponsorship is not available.
    Preferred Qualifications
    • Python experience for LLM engineering and data processing, including small services, automation, and evaluation harnesses.
    • Experience delivering AI-enabled applications in financial services or other regulated environments.

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