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