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Senior Full Stack Java Engineer
Career Insights for Java Developer / Engineer
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Based on New Jersey data
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What they do
A Java Developer or Engineer designs or improves computer software using the JAVA computer programming language. Oversees the JAVA software application development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.
$118,018 / year median in New Jersey
-7% projected decline
Job Description
Senior Full Stack Java Engineer_AI Location - Weehawken, New Jersey, US (Hybrid 3 days/office) Responsibilities Design and develop REST APIs, event-driven integrations, and messaging interfaces. Build and maintain integrations between Loan IQ and enterprise applications. Design and implement AI-powered agents and workflows that improve SDLC processes and engineering productivity. Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation. Collaborate with QA, Business Analysts, Product Owners, and Architects to deliver end-to-end solutions. Conduct code reviews and promote engineering, integration, and cloud best practices. Contribute to CI/CD automation, release management, and deployment processes. Design and implement cloud-native integration solutions using Azure services and serverless technologies. Troubleshoot production issues and optimize application and integration performance. Skills Must have Core Engineering 8+ years of software engineering experience, ideally within Financial Services. Strong expertise in Java, Spring Boot, REST APIs, and distributed systems. Experience with Kafka, IBM MQ, or similar messaging technologies. Strong integration experience with Loan IQ, lending, banking, or enterprise platforms. Deep understanding of API design, system integration, and enterprise application architecture. Agentic AI & Software Engineering Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes. Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies. Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures.