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AI (QA) Automation Engineer
Location: London (2 days in office)
Salary: Up to £65,000 + benefits
This role stands out for its genuine focus on AI-native quality engineering. You will join a team that is actively redesigning how QA works in a world of fast development cycles, complex data, and increasing automation, with AI tools like Claude, GitHub Copilot and similar assistants embedded into daily workflows rather than treated as add-ons.
The Company
They are a technology-led business operating in a highly data-driven financial environment, building a modern web platform that aggregates and analyses complex information to deliver clear, actionable insights for users. Working in small, cross-functional squads, they value thoughtful engineering, clean architecture and continuous improvement. The organisation is scaling its desktop web platform to match and extend existing mobile capabilities, creating an exciting phase of platform growth.
The Role
You will play a central role in shaping an automation-first, AI-assisted QA function within a product squad.
Key responsibilities include:
- Designing and building automated test coverage for a desktop web platform and its supporting backend services.
- Creating and evolving an automation framework from the ground up, with scalability and maintainability in mind.
- Using AI tools such as Claude, GitHub Copilot and IDE-native assistants to accelerate test creation, refactoring and coverage.
- Exploring agentic QA concepts, including autonomous test generation and execution with human review and policy setting.
- Testing APIs, integrations and data pipelines in a complex, data-heavy environment.
- Running regression and change-impact testing across core systems and third-party integrations.
- Improving data quality assurance and confidence as new features are released.
Your Skills & Experience
- Strong commercial experience in QA automation across web, API and backend systems.
- A clear automation-first mindset, with a track record of reducing manual testing.
- Hands-on experience with modern automation tools such as Selenium or Playwright and testing frameworks like JUnit.
- Good understanding of web technologies including HTML, CSS, JavaScript and modern frontend frameworks.
- Experience working with CI/CD pipelines, Jira and agile delivery teams.
- Active use of AI tools in your engineering workflow, beyond basic code completion, for example test generation, synthetic data creation, debugging or log analysis.
- Interest in, or exposure to, agentic or autonomous testing workflows where AI handles execution and humans focus on oversight and quality policy.
What They Offer
- Competitive salary and comprehensive benefits package.
- Hybrid working with regular collaboration in a London office.
- The opportunity to shape QA strategy and architecture in a growing platform.
- Exposure to modern AI-assisted and agentic engineering practices.
- Clear scope for technical ownership and progression as the platform scales.
How to Apply
If you are excited by AI-native QA and want to help redefine how quality is delivered in modern engineering teams, apply now to learn more.