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Job Description About Us: The Banking Technology team is at the forefront of digital transformation, committed to enhancing client interactions and improving banker experience through anAI-first approachto development. We champion innovation at scale, leveraging advanced AI and intelligent automation to deliver superior software solutions, drive unparalleled productivity, and maintain our position as industry leaders. Role Summary We are seeking an expert AI-driven Software Engineer to spearhead the development of a cutting-edge platform, automating and digitizing the end-to-end client experience in primary markets deal processes. This role embodies an AI-first mindset, where you will be instrumental in leveraging advanced AI-powered development tools and methodologies to accelerate development cycles, enhance software quality, and deliver creative solutions. You will be responsible for architecting and developing a custom middleware platform using the Spring framework, integrating near-real-time processing, modern open-source technology stacks, cloud computing, and intelligent automation. Key Responsibilities Pioneer the use of AI-powered development tools such as GitHub Copilot, Devin, and other generative AI platforms for accelerated code generation, intelligent debugging, automated testing, design pattern suggestions, and performance optimization across the entire Software Development Life Cycle (SDLC). Actively identify, evaluate, and implement AI-driven efficiencies and automations to streamline development, testing, deployment, and operational workflows. Explore, integrate, and champion new AI technologies, frameworks, and methodologies within the development team and across the broader organization. Contribute to the design and development of robust, scalable, and high-performance middleware platforms using the Spring framework (Spring Boot, JDBC, REST), focusing on backend systems and near-real-time processing. Collaborate with UI and Quality Engineering teams, ensuring AI-augmented development practices are integrated throughout the cross-functional agile team. Perform hands-on development and optimization with technologies like Mongo, Oracle, and Kafka, applying AI-driven insights to data modeling and system performance. Participate actively in Agile ceremonies, leveraging AI tools to enhance planning, estimation, and sprint execution. Maintain focus on producing high-quality, secure, and maintainable deliverables, leveraging AI for static analysis, vulnerability scanning, and code review assistance. Required Qualifications Bachelors degree in Computer Science, Software Engineering, or a related discipline. Demonstrated experience with, or a strong aptitude for, AI-powered development environments and tools (e.g., GitHub Copilot, Devin, AI-augmented testing frameworks). Solid understanding of how AI and machine learning concepts can fundamentally transform and enhance software delivery processes, from ideation to deployment. Proven ability to integrate and effectively utilize AI tools within daily engineering workflows to improve productivity and code quality. 12+ years of progressive experience in designing and developing complex web applications and platforms. Expert-level proficiency in Object-Oriented Programming (OOP) and Java/JEE development. Deep expertise with the Spring Framework (Spring Boot, MVC, JDBC, AOP, REST). Extensive experience with messaging systems, particularly Kafka. Proficiency in database technologies including Oracle and MongoDB, with experience in data modeling and optimization. Experience with CI/CD pipelines (e.g., TeamCity, uDeploy) and expert-level usage of source-control management (e.g., Git). Strong understanding of Agile methodologies and continuous delivery practices. Excellent communication, documentation, and interpersonal skills, with a collaborative mindset for working with local and remote teams. Ability to quickly adapt to and integrate new and emerging technologies, especially in the AI/ML domain. Desired Qualifications (Optional) Experience with prompt engineering for large language models (LLMs) to optimize development tasks. Familiarity with integrating custom AI models or domain-specific AI tools into development workflows. Understanding of AI security best practices and ethical considerations in AI-driven development. Experience contributing to open-source AI projects or frameworks. Cloud certifications (AWS, GCP, Azure) and Agile certifications. Equal Opportunity Employment Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr