Senior Java Full Stack Developer

Quick Facts

• Role: Senior Java Full Stack Developer

• Location/Work arrangement: Onsite in Hartford, CT

• Contract duration: 12 months

• Experience: 8–10 years

Description

Senior Java Full Stack Developer role focused on building intelligent enterprise applications with Java and Spring Boot, plus scalable JavaScript frontends. You will design, develop, and deploy Generative AI/LLM-based applications and agentic AI agents, integrated with enterprise systems and data platforms using Azure/public cloud and AI Builder technologies.

Responsibilities

• Design, develop, and maintain enterprise applications using Java and Spring Boot

• Build scalable frontend applications using JavaScript frameworks such as ReactJS (or equivalent)

• Develop and deploy applications using Microsoft Azure or other public cloud platforms

• Design, build, and implement agentic AI agents to solve business problems

• Utilize AI Builder technologies to develop AI-powered solutions

• Build, deploy, and maintain AI/ML solutions, including Generative AI and LLM-based applications

• Integrate AI agents with enterprise applications and data sources

• Leverage AI capabilities to improve software development lifecycle processes

• Collaborate with cross-functional engineering teams working within AI Pods

• Identify opportunities to apply AI/ML technologies to improve enterprise workflows and business processes

Requirements

• 8–10 years of overall IT experience

• 7+ years with Java and Spring Boot

• Strong JavaScript and frontend framework experience (e.g., ReactJS)

• Experience with Microsoft Azure or other public cloud infrastructure

• Hands-on experience building and deploying AI/ML solutions

• Experience with Generative AI and LLM-based applications

• Practical experience developing and implementing agentic AI agents

• Experience integrating AI solutions with enterprise applications and data platforms

• Understanding of AI-driven software development lifecycle processes

• Experience working in collaborative AI engineering teams or AI Pods

Benefits

• Reasonable accommodations available during the hiring process for qualified applicants with disabilities and for sincerely held religious beliefs

• Employment may be contingent upon job-related pre-employment screening (e.g., background/reference checks and, where permitted, drug testing)