Senior Full Stack Java Engineer

Goldenpick Technologies

  • Weehawken, NJ
  • 1 day ago
  • $60–$70

Highlights

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. Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes.

Numbers & Facts

LocationWeehawken, NJ
Salary$60–$70

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.

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