Agentic AI - Java Full Stack Developer

Customer - Our Client is a technology company that provides AI, data analytics, and clinical trial solutions for pharmaceutical and life sciences companies.

Title – Agentic AI - Java Full Stack Developer

Location - Jersey City , NJ - Hybrid

Duration - Long term contract

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 pract ices.

Qualifications & Experience:

Core Engineering & Architecture

• 15+ years in software engineering with advisory exper
• 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 architec tures.

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 A I observbility.

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 enga gements.
• EducationBachelor’s or Master’s in Information technology, Computer Science or related field.