Java Full Stack Developer

• Employer: Inabia Solutions & Consulting Inc.
• Work Arrangement: 100% onsite
• 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

• 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.

Preferred

• 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.