Senior Full-Stack Product Engineer — AI-Driven Systems

Litta™

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

10 days ago

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Job summary

Litta is hiring a Senior Full Stack Product Engineer to build and improve operational infrastructure for waste-collection scale. You will ship end-to-end features across frontend and backend, integrate external systems like Stripe/HubSpot, and leverage AI-assisted tooling to accelerate delivery while reducing manual work.

The role requires ownership across product and engineering with a startup mindset, autonomy in a small team, and a strong bias toward simplification.

Qualifications

  • 7 or more years building production web applications.
  • Experience with Vue or similar frameworks, Node.js, and cloud or serverless systems.
  • Experience integrating third-party APIs and working with webhooks.
  • Familiar with modern AI tooling in a development workflow.
  • Experience with Firebase or Google Cloud.
  • Experience with workflow automation tools such as n8n.
  • Experience shipping mobile apps using React Native (Expo) or similar.
  • Background in startups or high-velocity teams.
  • Strong product intuition and a bias for simplification.

Responsibilities

  • Build and maintain frontend applications using Vue, React, and TypeScript.
  • Develop and deploy backend services using Node.js, Firebase, and Google Cloud.
  • Design and evolve APIs, data models, and system boundaries.
  • Replace manual operational processes with reliable, observable systems.
  • Own features end-to-end, from schema and integrations through to UI and deployment.

Skills

Vue
Node.js
TypeScript
React Native
API Integration
Webhooks
Firebase
Google Cloud
n8n
AI tooling
CI/CD
Startup experience
Product mindset

Tools

Vue / React tooling

Job description

Litta is hiring a Senior Full Stack Product Engineer to build and improve operational infrastructure for waste-collection scale. You will ship end-to-end features across frontend and backend, integrate external systems like Stripe/HubSpot, and leverage AI-assisted tooling to accelerate delivery while reducing manual work.

The role requires ownership across product and engineering with a startup mindset, autonomy in a small team, and a strong bias toward simplification.

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