Agentic AI Full Stack Developer

About the Role We are looking for a hands-on Full Stack Developer to design, build, and support AI-powered applications from the ground up in a fast-paced enterprise scale data environment for a growing Investment Bank. You will own both the frontend and backend, work directly with modern AI agent frameworks, and help shape the architecture of a new platform and building a brand new data control plane. This is a builder’s role for someone who enjoys taking a product from a blank page to a production-grade, well-tested system. What You’ll Do Design and build end-to-end features across the UI and backend API layers.Architect and structure new applications from scratch — data models, API contracts, service boundaries, and frontend structure.Build and integrate AI agent workflows using frameworks such as LangGraph, LangSmith, Strands SDK, and Agent Core.Develop responsive, accessible user interfaces with React.js, TypeScript, and/or Angular, including styling and UX polish.Design and implement backend APIs (REST and/or event-driven) that power the application and integrate with AI services.Work with relational and other data stores — modelling data, writing efficient queries, and building reliable data access layers.Build with security and access control in mind (authentication, authorisation, role-based access) appropriate to a regulated financial environment.Write unit and regression test cases to ensure reliability and prevent regressions.Support and maintain the platform in production — monitoring, debugging, and iterating on live systems.Collaborate closely with data, platform, and business teams to deliver features in an Agile environment. Required Qualifications Proven, hands-on experience building both UIs and backend APIs.Strong frontend skills with React.js, TypeScript, and/or Angular.Solid backend development experience in a modern language (e.g., Python, Java, or Node.js).Experience with databases and SQL, including data modelling and query design.Experience designing application architecture and structure from scratch.Practical experience with Agentic AI frameworks: LangGraph, LangSmith, Strands SDK, and Agent Core.Experience writing unit and regression tests.Proficiency with Git and modern code review / CI-CD delivery practices.Comfortable owning both styling/frontend and backend/API concerns. Nice to Have Cloud engineering experience with AWS, Azure, or Google Cloud Platform.Experience writing evals to measure and improve AI/agent performance.Experience supporting production platforms and CI/CD pipelines.Familiarity with containerization and infrastructure-as-code.Exposure to data governance concepts (lineage, cataloging, access control).Prior experience in financial services or another regulated industry. What We’re Looking For A self-driven full stack engineer who is equally comfortable designing an architecture, styling a UI, wiring up an AI agent, and writing the tests that keep it all stable — someone who wants to build and own real products end to end.