Senior Full Stack Java Engineer

Goldenpick Technologies LLC; Weehawken (NJ); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Goldenpick Technologies LLC in Weehawken, NJ seeks a Senior Full Stack Java Engineer_AI to design and build robust AI-powered integrations and cloud-native solutions, contributing to scalable enterprise architectures.

You will own end-to-end development of REST APIs, event-driven interfaces, and Loan IQ integrations; apply AI agents and LangChain4j-inspired tooling; collaborate with QA, product, and architects to deliver secure, production-ready software.

Qualifications

• 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.
• 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.

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

Java

Spring Boot

REST APIs

Distributed systems

Kafka

IBM MQ

Loan IQ integration

API design

AI frameworks

RAG & prompt engineering

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.