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.