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# Senior (AI/ML) Java Engineer

- **Company:** Citi
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $142,320 - $213,480
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Generation, Software Quality, Code Review, Databases, Continuous Delivery, Continuous Integration, Data Migration, Cursor, Software Debugging, DevOps, Programming Tools, Github, PostgreSQL, Microsoft SQL Server, MongoDB, OpenShift, Oracle (Applications), Performance Tuning, Query Optimization, Software Engineering, Google Cloud, GitHub Copilot, Large Language Models, Claude Code, Spring-boot, Backend, Git Flow, Kubernetes, Information Technology, Cassandra, Asynchronous Programming, Restful APIs, Code Restructuring, Software Version Control, Docker, Microservices
- **Published:** November 13, 2026
- **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/Jersey-City-New-Jersey-United-States/Senior--AI-ML--Java-Engineer_261004340/apply

## About the Role

We are seeking a highly skilled and experienced Senior Java Engineer to join our dynamic team. The ideal candidate will be a hands-on developer with leadership quality, proficient in modern Java technologies and SQL skills, and passionate about leveraging cutting-edge AI tools and methodologies to build innovative and robust enterprise solutions., * Backend: Advanced proficiency in Core Java, Spring Boot, microservices architecture, and asynchronous programming. Experience with performance tuning and optimization.

 * Databases: Extensive experience with relational (SQL Server, PostgreSQL, Oracle) and non-relational (MongoDB, Cassandra) databases, including schema design, query optimization, and data migration strategies.
 * DevOps & Cloud: Experience working with Docker, Kubernetes, and experience with cloud platforms (e.g., AWS, Azure, GCP, OpenShift).
 * Version Control: Expert-level knowledge of Github and branching strategies.
 * AI/ML & Tooling:
 + Demonstrated experience with AI-powered development tools (e.g., GitHub Copilot, Devin, Claude Code, Cursor) for code generation, debugging, and refactoring.
 + Fundamental understanding of Large Language Models (LLMs) and their application in software development is a plus.

 * Soft Skills: Exceptional problem-solving abilities, strong communication, technical leadership, mentorship, and a proactive approach to continuous learning and innovation.

Experience

 * 6+ years of professional software engineering experience, with at least 3 years focused on AI Development
 * Proven track record of successfully designing, deploying, and maintaining high-scale, customer-facing applications in production environments.
 * Experience taking ownership of key project areas, driving technical initiatives, and leading cross-functional teams.
 * Prior experience integrating or working with AI/ML components or services is highly desirable., * Bachelor's or Master's degree in Computer Science, Software Engineering, or an equivalent technical field.

## Description

* Write clean, secure, and highly performant Java code using Spring Boot and related frameworks, adhering to best practices and coding standards.
 * Build modern, responsive front-end interfaces with a focus on user experience and robust, scalable RESTful APIs.
 * Lead architectural decisions, perform comprehensive code reviews, and mentor junior and mid-level developers, fostering a culture of technical excellence.
 * Champion continuous integration/continuous deployment (CI/CD) practices and oversee automated cloud deployments on platforms like AWS/GCP.
 * Actively utilize AI-powered development tools such as GitHub Copilot, Devin, Claude Code, and Cursor to accelerate development, improve code quality, and assist in debugging and refactoring efforts.
 * Contribute to the design and implementation of AI/ML integration patterns within applications, understanding the lifecycle of LLM-powered features.
 * Explore and integrate new AI technologies and frameworks to enhance application capabilities and developer productivity.