Agentic AI - Java Full Stack Developer
Customer - 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 DeveloperDuration: Long term contractLocation - Jersey City, NJ - HybridMandatory 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 ResponsibilitiesAssess 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 experTechnical 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 patternsExperience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automationStrong understanding of LLM orchestration, prompt engineering, and AI 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 engagements.EducationBachelor’s or Master’s in Information technology, Computer Science or related field.