Senior Agentic AI Engineer – Java/J2EE

Tasks

• Design and develop AI agents and multi-agent workflows
• Build and integrate Model Context Protocol (MCP) servers
• Connect AI agents with Java/J2EE applications, APIs, databases, repositories, and CI/CD pipelines
• Implement AI-driven code analysis, impact analysis, code generation, refactoring, and automated testing
• Integrate agentic solutions with Git/Bitbucket, Jenkins, and enterprise engineering platforms
• Establish security guardrails, access controls, monitoring, and human-in-the-loop workflows
• Drive modernization and automation of complex legacy Java applications

Requirements

• 10+ Years
• Java, J2EE, Spring & Spring Boot
• Generative AI, LLMs & Agentic AI
• Model Context Protocol (MCP) server development
• LangGraph, LangChain, Semantic Kernel, or equivalent frameworks
• RAG, prompt engineering, agent orchestration & memory
• Python and/or Java-based AI integration
• Azure OpenAI, OpenAI, or equivalent LLM platforms
• REST/SOAP APIs, SQL, JDBC/JPA/Hibernate
• Git/Bitbucket, Jenkins, CI/CD, Maven/Gradle & JUnit
• Preferred Experience: Enterprise application modernization, production-grade Agentic AI solutions, and banking or financial services environments.

Schedule

• 6+ Months Contract

How to apply

• Share your updated resume via DM or email.

Location

• Charlotte, NC