Full Stack Developer - P&C Insurance

Saama; Jersey City (NJ); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Saama is seeking a Full Stack Developer specializing in P&C Insurance to join their hybrid team in Jersey City, NJ. The ideal candidate will have over 15 years of experience in software engineering and a deep understanding of AI integration into the SDLC.

This role involves assessing engineering practices, building reusable services, and executing AI-driven strategies. The candidate must possess expertise in Java, Spring Boot, Angular, and cloud-native architectures, particularly on Microsoft Azure.

Qualifications

• 15+ years in software engineering with advisory experience.
• Hands-on experience orchestrating agentic AI workflows using frameworks like LangGraph or LangChain.
• Excellent communication skills with the ability to influence and deliver measurable outcomes.

Responsibilities

• Assess current engineering practices and deliver a prioritized modernization roadmap.
• Build Enterprise Shared Services and APIs reusable across product teams.
• Define and execute an AI-in-SDLC strategy embedding intelligent automation.

Skills

Java

Spring Boot

Angular

Azure

Microservices

Agentic AI workflows

Education

Bachelor’s or Master’s in Information technology, Computer Science or related field

Tools

Docker

Kubernetes

Job description

Title

Full Stack Developer – P&C Insurance

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.

EEO

Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.