Full-Stack Engineer — Python/React, AI Vision

Few&Far; City of Edinburgh; Híbrido; GBP 60.000 - 90.000; Jornada completa

Descripción de la vacante

Few&Far in Edinburgh is seeking a Full Stack Engineer to help build AI-powered computer vision products for global consumer brands. You’ll work across the stack, shipping features from backend services with Python and FastAPI to frontend interfaces using React and TypeScript.

You’ll collaborate with ML, product, and customer-facing teams, take ownership of features end-to-end, and optimize deployments in a small, engineering-led team. Hybrid work allows 1–2 days in the Edinburgh office.

Formación

• 3–5 years of software engineering experience.
• Strong backend experience with Python and modern API development.
• Experience with FastAPI is ideal; Django/Flask are welcome.
• Comfortable across the stack: ~70% backend / 30% frontend.
• Proficiency with React / TypeScript to take features from backend to UI.
• Previous startup or small-team ownership of projects end-to-end.
• Experience using AI development tools in day-to-day workflows.

Responsabilidades

• Develop and ship features end-to-end from backend to customer-facing product.
• Build scalable backend services and APIs with Python and FastAPI.
• Connect backend with React/TypeScript applications.
• Maintain integrations between the platform, internal services, and customer systems.
• Own features through testing, deployment, and production.

Conocimientos

Python

FastAPI

React

TypeScript

Django / Flask

API development

AI development tools

End-to-end ownership

Startup experience

Herramientas

React tooling

Frontend tooling

Descripción del empleo

Few&Far in Edinburgh is seeking a Full Stack Engineer to help build AI-powered computer vision products for global consumer brands. You’ll work across the stack, shipping features from backend services with Python and FastAPI to frontend interfaces using React and TypeScript.

You’ll collaborate with ML, product, and customer-facing teams, take ownership of features end-to-end, and optimize deployments in a small, engineering-led team. Hybrid work allows 1–2 days in the Edinburgh office.