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About the Role

This is a high-impact Fullstack Engineer opportunity to build and own a new internal web application that becomes the single go-to place for teams to browse computer vision models, run them on data subsets, and explore results. You will partner directly with internal users to shape workflows and ship an MVP quickly, then iterate based on real feedback. As the first dedicated Fullstack hire in Corpus & Enrichment, you will set the standard for maintainable, scalable UI engineering that accelerates model development and data labelling workflows across the business.

Responsibilities

Lead discovery with internal stakeholders to define user workflows, UX, and requirements for Enrichment Shop
Build, ship, and iterate the Enrichment Shop product end-to-end using React/TypeScript and established backend web frameworks
Integrate the frontend with existing systems and APIs (including Databricks-backed workflows and internal services)
Incorporate user feedback into delivery planning and help define lightweight expectations/SLAs for an internal tool
Build for long-term maintainability by writing clear, testable code and enabling others to contribute and support the system

Requirements

Strong JavaScript and TypeScript experience, with React as the preferred frontend direction
Proven track record delivering a full web application, ideally owning work end-to-end in production
Experience integrating with existing backend systems and APIs, and working effectively in an established codebase
Able to operate independently, partnering directly with internal stakeholders and building pragmatic, maintainable, testable solutions
Experience with established web frameworks (for example Next.js or similar)
Some full-stack exposure, including working close to backend services (Python/Django REST exposure a plus)
Experience building internal tools and running a tight feedback loop with users, including setting lightweight expectations/SLAs

Skills

JavaScript
TypeScript
React
Next.js
Python
Django REST

Location

London

Work Type

Full-time
Hybrid

Experience Level

Senior