QA Engineer

Blend is a premier AI services provider, committed to creating meaningful impact for its clients through the power of data science, AI, technology, and people. We help organisations solve complex business challenges by combining deep domain understanding with modern data and AI capabilities. Our teams work across strategy, analytics, engineering, and product delivery to create scalable, high-value solutions that improve decision-making, efficiency, and growth.

We are looking for a detail-oriented QA Engineer to own testing for an LLM powered data analytics platform used by enterprise clients in the consumer goods space, delivered as a modern web application. Working closely with the engineering team, you will design and execute test plans covering the platform end-to-end, build out a smoke test suite for existing functionality, and act as a release gate before new features reach clients. This is a full-time, dedicated role for the duration of the project, spanning pre-launch validation through ongoing post-go-live testing. The ideal candidate is comfortable testing both structured workflows and less deterministic, AI-generated outputs, is experienced validating UI-heavy, interactive web applications, and brings background knowledge of consumer packaged goods (CPG) data — category hierarchies, promotions, seasonality — to judge whether results make business sense, not just whether the system runs without errors.

Responsibilities:

Test Planning & Strategy
• Define and maintain test plans covering functional, regression, and release testing across the platform

• Translate feature requirements into test cases covering expected, boundary, and edge case scenarios

• Plan test coverage in coordination with engineering ahead of each release Smoke Testing & Release Gates

• Build and maintain a smoke test suite retroactively for existing platform functionality, and expand it as new features ship

• Own sign-off on feature release gates prior to client delivery, confirming core functionality behaves as expected

• Validate that outputs generated by the platform are directionally correct and business-sensible, not just error-free

• Validate UI rendering, interactive components, and layout behaviour across browsers and screen sizes as part of each release gate Post-Go-Live Testing & Regression

• Execute ongoing regression testing after each release to confirm existing functionality remains stable

• Maintain and evolve regression coverage for the duration of the engagement as new features are introduced

• Monitor for and reproduce issues raised after go-live, working with engineering to confirm fixes Defect Management & Reporting

• Log, prioritise, and track defects through resolution, with clear severity classification

• Produce test summaries at the end of each testing cycle, including outstanding risks and go-live readiness recommendations

• Contribute to continuous improvement of test processes and documentation

• 3+ years of experience in a QA or testing role, ideally on data-driven or AI-enabled products

• Experience designing and executing test plans covering functional, regression, and release testing

• Comfortable validating both deterministic system behaviour and less predictable, AI-generated outputs

• Experience building or maintaining smoke test and regression suites

• Experience testing UI-heavy, single-page web applications (e.g. React or similar frameworks), including component behaviour, rendering, and cross-browser/responsive validation

• Hands-on experience with UI test automation tools such as Playwright, Cypress, or Selenium

• Strong attention to detail and ability to work independently across a full project lifecycle

• Good communication and organisational skills, comfortable working across technical and business stakeholders Good to Have

• Background in the CPG (consumer packaged goods) industry, or familiarity with retail/consumer data such as category hierarchies, promotions, and seasonality

• Exposure to automated testing tools and frameworks beyond UI testing

• Experience testing data analytics, BI, or LLM/AI-powered products • Experience working within Agile delivery teams