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.
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