Senior Applied AI Full-Stack Engineer

Summary We are seeking a Senior Full-Stack hands-on Engineer to be part of the Banking Technology team delivering best in class technology solutions to help the Banking organization achieve their business goals. The candidate will design and deliver enterprise-grade web applications, leveraging AI development agents (e.g., Claude Code, Devin, Cursor) to accelerate delivery and raise engineering standards. This role demands end-to-end technical ownership, hands-on delivery, and the ability to lead and coach within small, high-autonomy squads. The ideal candidate is AI-first in mindset, strong in domain understanding, and accountable for the quality and reliability of everything that ships.

Design and build large-scale web application platforms on microservices architecture, owning decisions across the full stack — from Angular frontends to Java/Spring Boot backends and relational data layer. Lead system design at both high and low levels, producing artefacts such as sequence diagrams, class diagrams, and data models, while ensuring security, scalability, and performance are built in from the start. Leverage AI coding agents (e.g., Claude Code, Cursor, Devin) for code generation, debugging, and routine tasks; engineering high-quality context (repository structure, API specs, Jira tickets) to maximize the accuracy and reliability of AI output. Critically review, validate, and take ownership of all AI-generated code ensuring structural integrity, security compliance, and production readiness before anything reaches deployment. Integrate agentic workflows into CI/CD pipelines; manage multiple workstreams concurrently through intelligent delegation to AI agents. Act as a player/coach within small, co-located squads — hands-on in delivery while actively upskilling junior engineers to become effective AI-first practitioners. Apply a strong functional understanding of Corporate and Investment Banking to ensure solutions address real business outcomes, not just technical requirements. Required Skills & Experience Strong fundamentals in systems analysis, design patterns, data analysis and SDLC, including unit testing and CI/CD practices. 6+ years of strong hands-on experience with Java and Spring Boot for building scalable microservices, and Angular 19+, TypeScript, JavaScript, HTML5, JSON, CSS, Web Sockets, and Ajax. Strong hands-on experience with relational (Oracle, SQL Server) databases and NoSQL (Mongodb); solid understanding of database design and data modelling. Experience working with large datasets and data analysis to generate insights Demonstrated, hands-on proficiency with AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot, or equivalent). Spec driven development - Ability to write structured prompts, engineer context, and decompose complex problems into tasks suitable for AI agent delegation. Strong experience with GitHub for source control and Jira for project management. Proven experience in Agile/Scrum delivery. Domain Functional understanding of Banking — able to articulate why their work matters, not just how it is built. What Sets This Role Apart This is not a conventional engineering role. You are expected to operate as a force multiplier — directing AI agents across multiple workstreams, validating output for production safety, and coaching others to do the same. The measure of success is not lines of code written, but outcomes delivered, quality maintained, and the team's collective capability raised. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Jersey City New Jersey United States ------------------------------------------------------ Primary Location Full Time Salary Range: $142,320.00