Full Stack Developer - P&C Insurance

Title Full Stack Developer P&C Insurance Duration: Long term contract Location: Jersey City, NJ Hybrid Mandatory Skills: Java, Spring Boot, Angular, Azure, Microservices, Agentic AI workflows using LangGraph, LangChain, or comparable frameworks, P&C Insurance Position Summary We are seeking a hands‑on Full Stack AI Consultant to accelerate our AI‑in‑SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization Key Responsibilities Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core. Build Enterprise Shared Services and APIs that could be reused across different product teams. Define and execute an AI‑in‑SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment. Design and implement agentic workflow orchestration using LangGraph, including multi‑agent collaboration, tool integration, memory management, and human‑in‑the‑loop patterns. Build reusable reference implementations, libraries, and playbooks for AI‑augmented engineering. Drive adoption of DevOps, CI/CD, and observability practices with AI‑driven enhancements. Advise on engineering policies and standards that embed AI‑first principles. Upskill existing engineers on agentic AI patterns and AI‑integrated development practices. Qualifications & Experience 15+ years in software engineering with advisory experience. Expertise in Java, Spring Boot, Angular, and cloud‑native architectures on Microsoft Azure. Strong background in microservices, Docker/Kubernetes, API‑first design, and event‑driven architectures. Hands‑on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks. Proven ability to design multi‑agent systems with tool use, planning, and RAG patterns. Experience embedding AI into the SDLC like AI‑assisted coding, intelligent test generation, automated documentation, and release automation. Strong understanding of LLM orchestration, prompt engineering, and AI observability. Insurance P&C domain experience strongly preferred. Excellent communication skills with the ability to influence from engineering teams to senior leadership. Track record of delivering measurable outcomes within time‑bound engagements. Education Bachelor's or Master's in Information technology, Computer Science or related field. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers. #J-18808-Ljbffr