Apptad-Full Stack Developer – P&C Insurance

Job Title: Full Stack Developer P&C Insurance

Job Location: Jersey City NJ - Hybrid

Job Duration: Long Term

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

• Bachelors or Masters in Information technology Computer Science or related field.