Location: Hartford, CT 06103
Work Arrangement: Onsite
Employment Type: Contract
Duration: 12 Months
Experience Required: 8–10 Years
Position Overview
We are seeking an experienced Senior Java Full Stack Developer with strong expertise in Java, Spring Boot, JavaScript frameworks, cloud infrastructure, and Artificial Intelligence/Machine Learning (AI/ML). The ideal candidate will have hands-on experience designing, developing, and deploying Generative AI solutions, LLM-based applications, and agentic AI agents integrated with enterprise applications and data platforms.
The role involves building intelligent enterprise solutions, leveraging AI Builder technologies, and collaborating with AI-focused engineering teams to solve business challenges and enhance software development lifecycle processes.
Key Responsibilities
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Design, develop, and maintain enterprise applications using Java and Spring Boot.
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Build scalable frontend applications using JavaScript frameworks such as ReactJS or equivalent.
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Develop and deploy applications using Microsoft Azure or other public cloud platforms.
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Design, build, and implement agentic AI agents to solve business problems.
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Utilize AI Builder technologies to develop AI-powered solutions.
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Build, deploy, and maintain AI/ML solutions, including Generative AI and LLM-based applications.
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Develop AI agents and integrate them with enterprise applications and data sources.
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Leverage AI capabilities to improve software development lifecycle processes.
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Collaborate with cross-functional engineering teams working within AI Pods.
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Identify opportunities to apply AI/ML technologies to improve enterprise workflows and business processes.
Required Qualifications
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8–10 years of overall IT experience.
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7+ years of experience with Java and Spring Boot.
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Strong experience with JavaScript and frontend frameworks such as ReactJS or equivalent.
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Experience with Microsoft Azure or other public cloud infrastructure.
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Hands-on experience building and deploying AI/ML solutions.
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Experience with Generative AI and Large Language Model (LLM)-based applications.
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Practical experience developing and implementing agentic AI agents.
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Experience integrating AI solutions with enterprise applications and data platforms.
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Understanding of AI-driven software development lifecycle processes.
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Experience working in collaborative AI engineering teams or AI Pods.
PRIMARY SKILLS
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Microsoft Azure / Public Cloud
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Artificial Intelligence / Machine Learning (AI/ML)
SECONDARY SKILLS
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Large Language Models (LLMs)
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Enterprise AI Integration
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.
