Java Full Stack Developer

Java Full Stack DeveloperInabia 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 ResponsibilitiesDeliver 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 Qualifications8+ 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 QualificationsPython 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.