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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.
Job Responsibility:
Pioneer the use of AI-powered development tools for accelerated code generation, intelligent debugging, automated testing, design pattern suggestions, and performance optimization
Actively identify, evaluate, and implement AI-driven efficiencies and automations to streamline workflows
Explore, integrate, and champion new AI technologies, frameworks, and methodologies
Contribute to the design and development of robust, scalable, and high-performance middleware platforms using the Spring framework
Collaborate with UI and Quality Engineering teams
Perform hands-on development and optimization with technologies like Mongo, Oracle, and Kafka
Participate actively in Agile ceremonies
Maintain focus on producing high-quality, secure, and maintainable deliverables
Requirements:
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
Proven ability to integrate and effectively utilize AI tools within daily engineering workflows
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
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
Ability to quickly adapt to and integrate new and emerging technologies, especially in the AI/ML domain
Nice to have:
Experience with prompt engineering for large language models (LLMs)
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