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# Senior Java Fullstack AI Engineer

- **Company:** LTM Inc
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $160,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Application Release Automation, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Generation, Code Review, Continuous Integration, DevOps, Memory Management, Integrated Development Environments, Language Modeling, Systems Development Life Cycle, Software Engineering, Large Language Models, Prompt Engineering, Spring-boot, Event Driven Architecture, AngularJS, Human in the Loop, Docker, Microservices
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c55a038c91e49ddc

## About the Role

Do you have experience in Technology advisory?, * 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
 * Handson experience orchestrating agentic AI workflows using Lang Graph Lang Chain or comparable frameworks
 * Proven ability to design multiagent 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 PC 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 timebound engagements

## Description

* 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, * 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 Lang Graph including multiagent 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 CICD 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


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