Senior Product Engineer - AI-Driven Full-Stack Builder

Dex

Greater London

On-site

GBP 90,000 - 130,000

Full time

1 hour ago
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Job summary

Dex is rebuilding property investment in London with an AI-native engineering approach. You will own features end-to-end across frontend and backend, leveraging React, Remix, TypeScript on the frontend and Golang on the backend. This role emphasizes shaping problems alongside product and design.

You’ll integrate AI tools to elevate development workflows, move beyond basic tooling, and contribute to defining a scalable AI-first engineering practice for thousands of users.

Qualifications

  • Proven experience as a full-stack engineer on user-facing products.
  • Ability to frame business problems and think in trade-offs, not just technical solutions.
  • Demonstrable experience using AI tools in development workflow with prompting and reasoning.
  • Track record of mentoring engineers and contributing to team growth.
  • Strong testing habits: unit, integration, and end-to-end automation.

Responsibilities

  • Take full ownership of features from concept to deployment, impacting a platform with significant assets.
  • Work across a modern full-stack: React, Remix, TypeScript on the frontend; Golang on the backend.
  • Shape product direction by defining problems and solutions with product and design.
  • Integrate AI tools into daily development workflow for genuine leverage.
  • Contribute to defining and scaling an AI-native engineering practice.

Skills

Full-stack engineering
AI tooling & prompting
Mentoring
Testing automation

Tools

React
Remix
TypeScript
Golang

Job description

Dex is rebuilding property investment in London with an AI-native engineering approach. You will own features end-to-end across frontend and backend, leveraging React, Remix, TypeScript on the frontend and Golang on the backend. This role emphasizes shaping problems alongside product and design.

You’ll integrate AI tools to elevate development workflows, move beyond basic tooling, and contribute to defining a scalable AI-first engineering practice for thousands of users.

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