Remote - Tech Lead Software Engineer

The Banking Technology team is at the forefront of digital transformation, committed to enhancing client interactions and improving banker experience through an AI-first approach to 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.

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, and cloud computing, all augmented by intelligent automation.
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.

Bachelor’s 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.
• 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., 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.

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.

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Primary Location Full Time Salary Range:
$Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. 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.

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