AI Integration Engineer

Title: AI Integration EngineerLocation: Charlotte, NCDuration: 103 W, 5 DWork Engagement: W2Work Schedule: Hybrid 3 days in office/2 days remoteBenefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary BenefitsSummary:In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.Key Responsibilities:* Contribute to AI‐first initiatives by integrating AI models, agents, and services into existing and new applications.* Support projects centered on practical AI use cases, including automation, decision intelligence, and intelligent user experiences.* Build and integrate AI agents that interact with internal systems, data sources, and business workflows.* Partner with product, engineering, and platform teams as AI capabilities are scaled across the organization.* Participate in the transfer and modernization of existing technology spaces as they move toward AI‐enabled solutions.Key Requirements:* Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.* GenAI expertise* Strong Java/Python programming experience for GenAI workflows, experimentation, and integration.* practical experience building and deploying Applications powered by:* Large Language Models (LLMs)* Retrieval-Augmented Generation (RAG) pipelines* Embeddings and vector databases* Model Context Protocol (MCP) integrations and tool creation* Agent frameworks and agent orchestration patternsDesired Qualifications:Java & Backend EngineeringCore Java, J2EE, Design PatternsSpring Boot, Spring Security, HibernateAPI & MicroservicesRESTful API developmentMicroservices architectureContainerization (Docker/Kubernetes)Testing & Build AutomationUnit Testing: JUnit, PowerMockBDD experienceCI/CD using Maven, Gradle, Jenkins, HyperExecute.DatabasesMongoDB (NoSQL)Oracle / MS SQL (RDBMS)