Full Stack Developer P&C Insurance

Mandatory Skills: 15 years overall experience Java, Spring Boot, Angular, Azure, Microservices, Agentic AI workflows using LangGraph, LangChain, or comparable frameworks, P&C Insurance.

Application Requirements: Candidates must include their LinkedIn and Github profiles to go along with their applications. Note: Screening efforts have been strengthened; only the best candidates fully meeting these criteria will be submitted for review.

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

Core Engineering & Architecture:

• 15+ years in software engineering with advisory experience.
• Technical implementation experience that strictly aligns with the high seniority and depth required for this position.
• 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.

AI & Agentic Systems (Strict Requirements):

• Demonstrated, hands-on Agentic AI implementation experience.
• Proven experience building, deploying, or operationalizing AI agents in production environments.
• Demonstrated effective use of AI tools for software development and code review activities.
• Ability to clearly explain AI-generated code, agent architectures, or multi-agent systems you have worked on.
• Broad AI engineering expertise (experience that is highly platform-specific rather than demonstrating broader AI engineering expertise will not advance).
• 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.

Domain & Soft Skills:

• 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.

Physical Demands

This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.