Full Stack Engineer (AI Native)

You will take ownership of software within one of the engineering squads, contributing across both front-end and back-end development while working alongside product, engineering, and technical operations teams. Key responsibilities include:

• Building and enhancing customer-facing web applications.
• Developing scalable features using React, JavaScript and TypeScript.
• Contributing to backend services built with Kotlin and Spring.
• Leveraging AI tools and agentic development workflows as part of your day-to-day engineering process.
• Working within Agile Scrum teams to plan, develop, test and release software.
• Collaborating on APIs, microservices and event-driven architectures.
• Driving software quality, performance, security and scalability.

You will bring strong capability in:

• Java and Kotlin backend development on the Spring stack.
• React, JavaScript and TypeScript.
• AI-assisted development, particularly using Claude and agentic engineering workflows.
• CI/CD pipelines, automated testing and API integrations.
• AWS, Docker and/or Kubernetes.
• Jira, Agile methodologies and collaborative software delivery.

Up to £85,000 + Benefits London (Hybrid, 2 Days per Week) This is a great opportunity to join a high-growth fintech scale-up where you can take ownership of customer-facing products whilst working in an AI-first engineering environment. You’ll help build technology that combines financial data, analytics, and behavioural insights to deliver meaningful outcomes for end users., You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.

This rapidly growing WealthTech business is transforming how individuals engage with their financial lives through innovative technology, sophisticated analytics, and exceptional user experience. Backed by leading investors and operating in a scale-up environment, the business is building a platform that provides users with a complete view of their financial world alongside personalised insights and recommendations. The engineering function operates through cross-functional Agile squads and is heavily focused on leveraging AI to increase engineering productivity and innovation.