Senior Java Engineer Agentic AI Driven Development

Citi • Irving, TX

2d • $125,760 - $188,640 • Hybrid

About The Position

We are seeking a Senior Java Engineer with expertise in Agentic AI Driven Development. This role involves leading the design, development, and implementation of complex middleware applications, leveraging AI-powered tools to accelerate development, optimize database interactions, and improve CI/CD pipelines. The ideal candidate will collaborate with cross-functional teams, mentor junior engineers, and actively research AI technologies to enhance productivity and software quality. Responsibilities include participating in code reviews, troubleshooting production issues, contributing to strategic planning, conducting feasibility studies, and monitoring the development process. This role requires a strong understanding of Java, Spring Boot, middleware, database technologies (Oracle, MongoDB), CI/CD, and a demonstrable experience with AI development tools and methodologies.

Requirements

• Core Java: Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals.
• Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security).
• Middleware: Proven experience in designing and developing RESTful APIs and microservices.
• Database Technologies (Must): Relational Databases: Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures.
• Database Technologies (Must): NoSQL Databases: Experience with MongoDB, including data modeling, querying, and performance tuning.
• CI/CD & DevOps: Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes).
• Version Control: Proficiency with Git and standard branching strategies (e.g., Gitflow).
• Testing: Experience with unit testing frameworks (JUnit, Mockito) and integration testing.
• Web Technologies (Beneficial): Familiarity with web services (SOAP/REST), XML, JSON.
• AI Tools & Methodologies (Must): Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex.
• AI Tools & Methodologies (Must): Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation).
• AI Tools & Methodologies (Must): A keen desire to apply AI technologies to improve software development processes and outcomes.

Nice To Haves

• 6-10 years of relevant experience in Apps Development or systems analysis role
• Demonstrated expertise in Java, with a deep understanding of its core concepts, libraries, and the Java Virtual Machine (JVM).
• Extensive experience with the Spring Framework, including Spring Boot, for building enterprise-level applications, and proficiency with ORM frameworks like Hibernate or JPA.
• Strong foundation in object-oriented programming (OOP) principles and a practical understanding of design patterns to create scalable and maintainable code.
• Proficient in working with relational databases (e.g., PostgreSQL, Oracle, MySQL) and NoSQL databases like MongoDB.
• Experience with unit testing frameworks (e.g., JUnit, Mockito) and a commitment to writing clean, well-documented, and testable code.
• Solid understanding of RESTful API design and development, and experience creating and consuming web services.
• Extensive experience system analysis and in programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication
• Master’s degree preferred

Responsibilities

• Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot, utilizing AI-powered code generation tools to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation.
• Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity, employing AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions.
• Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery by integrating AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data.
• Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software, using AI-powered communication and summarization tools to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences.
• Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning, leveraging AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices.
• Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality, continuously exploring emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assessing their applicability to our development ecosystem.
• Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines, utilizing AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design.
• Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems, implementing AI-driven anomaly detection in monitoring systems, leveraging AI for rapid log analysis and root cause identification, and automating incident response workflows.
• Contribute to the strategic planning and technical roadmap for our middleware platforms, employing AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights.
• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development, utilizing AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation.
• Monitor and control all phases of the development process (analysis, design, construction, testing, and implementation) and provide user and operational support, implementing AI-driven dashboards and reporting for real-time project health, automated progress tracking, and proactive identification of development lifecycle bottlenecks.
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgment, augmenting human analytical capabilities with AI-powered data analysis and pattern recognition to rapidly assess complex scenarios and inform robust decision-making.
• Recommend and develop security measures in post-implementation analysis of business usage to ensure successful system design and functionality, using AI-driven security analysis tools to continuously monitor applications for vulnerabilities, predict potential threats, and recommend adaptive security controls.
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems, employing AI to quickly understand user pain points, simulate solution impacts, and generate clear documentation or prototypes for client review.
• Ensure essential procedures are followed and help define operating standards and processes, utilizing AI for automated compliance checks against defined procedures and for suggesting improvements to operational workflows based on performance data.
• Serve as advisor or coach to new or lower-level analysts, providing AI-assisted guidance and training resources, offering personalized feedback and access to extensive knowledge bases.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, leveraging AI for advanced risk analytics, scenario planning, and compliance monitoring, enhancing the accuracy and foresight of risk assessments.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior