Full Stack Engineer

Few&Far; City of Edinburgh; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

FastAPI

React

TypeScript

Django / Flask

API development

AI development tools

End-to-end ownership

Startup experience

Tools

React tooling

Frontend tooling

Job description

Full Stack Engineer – Python / React

Edinburgh - 1 day a week in office

AI-Powered Computer Vision for Global Consumer Brands

I’m partnered with a fast-growing AI & Computer Vision company building technology that helps some of the world’s biggest consumer brands understand how their products are performing across physical retail.

Their platform uses advanced image recognition and AI to analyse real-world retail environments at huge scale, currently processing 1M+ images every month across customers globally.

They’re a ~25-person, engineering-led company with around half the business sitting across software engineering and machine learning, and they’re now looking for a Full Stack Engineer to strengthen their core product team.

What you’ll work on

• Building and shipping features end-to-end, from the backend and data layer through to the customer-facing product
• Developing scalable backend services and APIs using Python & FastAPI
• Connecting backend systems with React / TypeScript applications
• Building and maintaining integrations between the platform, internal services and customer systems
• Owning your work through testing, deployment and production
• Working closely with Machine Learning and customer-facing teams to turn complex AI technology into reliable products
• Using AI coding tools and automation throughout your engineering workflow

What we’re looking for

• Around 3–5 years of software engineering experience
• Strong backend experience with Python and modern API development
• FastAPI experience is ideal, although strong Django / Flask engineers are welcome
• Comfortable working across the stack — roughly 70% backend / 30% frontend
• Enough React / TypeScript knowledge to take a feature from backend through to the user
• Previous experience in a startup or small engineering team where you’ve owned projects end-to-end
• Strong experience using AI development tools as part of your day-to-day engineering workflow

Why join?

• Work on genuinely interesting AI / Computer Vision technology solving real-world problems
• Join a highly technical, engineering-led team with strong ML and backend expertise
• Take genuine end-to-end ownership rather than working on one small part of a large system
• Work directly alongside Machine Learning, Product and customer-facing engineering teams
• Opportunity to broaden your skills across frontend, infrastructure and deployment while keeping Python/backend engineering as your core focus
• AI is embedded into how the engineering team works — not just something bolted onto the product

Working Model - Preference is for engineers who can work hybrid from Edinburgh (1–2 days per week)