Front End Engineer - AI-Driven UI (Hybrid Manchester)

Matillion Ltd

Manchester

Hybrid

GBP 47,000 - 71,000

Full time

4 days ago
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Benefits offered by this job

Company Equity
30 days holiday + bank holiday
5 days paid volunteering leave
Private Health Insurance
Life Insurance
Pension
Access to mental health support

Job summary

Matillion Ltd in Manchester is seeking a Frontend Engineer to build production React and TypeScript interfaces for Maia and Maia Teams, applying an agentic-first mindset and validating AI-generated code.

You will shape frontend architecture, drive secure, well-documented code, and work in a hybrid setup with at least 2 days in the office, collaborating across engineering and AI initiatives to deliver high-impact features.

Qualifications

  • Experience shipping production React applications with testable, well-documented code.
  • Strong TypeScript experience for production components.
  • Experience with CI/CD and modern SDLC practices.
  • Ability to validate AI-generated code and harden it for production.
  • Strong web security knowledge and self-documenting code.

Responsibilities

  • Build production React and TypeScript components for Maia and Maia Teams.
  • Review and validate AI-suggested code against security and performance bars.
  • Break epics into shippable increments and maintain CI/CD flow.
  • Shape front-end architecture with component patterns and state management.
  • Daily hands-on use of AI coding tools with critical judgement.
  • Diagnose and fix issues in a frontend service.
  • Work in an Agile environment with CI/CD and version control.

Skills

React
TypeScript
Frontend architecture
CI/CD
Security best practices

Tools

GenAI tools
AI coding tools

Job description

Matillion Ltd in Manchester is seeking a Frontend Engineer to build production React and TypeScript interfaces for Maia and Maia Teams, applying an agentic-first mindset and validating AI-generated code.

You will shape frontend architecture, drive secure, well-documented code, and work in a hybrid setup with at least 2 days in the office, collaborating across engineering and AI initiatives to deliver high-impact features.

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