Full Stack Software Engineer | London | £60,000 – £73,000 + equity | Python | Vue.js | AI Product

Location: London based, hybrid (1 day per week)

A growing product led technology company is building a platform at the intersection of AI, learning, and workflow optimisation, designed to help organisations get more value from how their teams operate.

They are already working with a range of established organisations and have built strong early traction. The focus now is on scaling, refining, and expanding the platform as usage grows, which means joining at a point where there is both momentum and plenty left to build.

What you will be doing

• Building end to end features across backend and frontend, from API design through to UI
• Working closely with product and design to turn ideas into well thought through functionality
• Improving performance, usability, and reliability of a live product used by real customers
• Contributing to technical decisions as the platform evolves and scales
• Owning meaningful parts of the product rather than small isolated tickets

Tech stack

• Backend: Python (FastAPI, Flask, or Django experience beneficial), Postgres
• Frontend: TypeScript, Vue 3
• Cloud: Azure, GCP, or AWS experience a bonus

What they are looking for

• Experience building production web applications across frontend and backend
• Strong grounding in at least one modern frontend framework
• Solid backend experience, ideally with Python or a similar language
• Confidence building APIs and working with data driven systems
• Someone who takes ownership and is comfortable going from idea to production
• Ability to work closely with non engineers and contribute to product thinking

Why this role stands out

• You are building something people actually use, not internal tooling or throwaway prototypes
• Engineers have real ownership and can see the impact of their work quickly
• The product already has traction, so you are scaling something real rather than chasing product market fit
• Close collaboration with product means you influence what gets built, not just how!

If you like the idea of working on AI in a way that actually changes how people work, rather than adding to the hype cycle, this is worth a conversation!