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Há 3 dias
We're looking for a skilled QA Automation Engineer to integrate Retrieval-Augmented Generation (RAG) technology into our existing automation stack. This is a unique opportunity to create high-value manual test cases, validate and refine autoscripted outputs, and improve the feedback loop that makes our RAG engine smarter over time.
Key Responsibilities:- Create structured requirement tickets and manual test cases using formats like GIVEN/WHEN/THEN + data, edge cases, and links.
- Validate autoscripted tests generated by the RAG pipeline: compile, run, triage, and refactor them following Screenplay best practices; log precision/recall metrics into LangChain evaluators with guidance from the Automation Agent Engineer.
- Collaborate with SDETs to refactor duplicated Java/Cucumber steps, increase API-layer test coverage, and adopt code snippets surfaced by the retriever.
- Perform exploratory and regression testing on the new onboarding UI MVP; file defects, verify fixes, and maintain traceable acceptance criteria in Qtest.
- 3+ years hands-on QA automation experience with Java, Cucumber (BDD), Selenium/WebDriver, and RestAssured.
- Comfortable writing structured requirement tickets and decomposing stories into atomic acceptance criteria.
- Intermediate SQL skills for multi-database validation.
- Familiarity with Jenkins pipelines and artifact triage processes.
- Clear and precise communication skills, with the ability to translate fuzzy requirements into crisp GIVEN/WHEN/THEN steps.
- Exposure to the Screenplay pattern (Serenity BDD) and Serenity reporting.
- Experience reviewing or prompting AI-generated code (e.g., GitHub Copilot, Cursor).
- Knowledge of LangChain evaluators or RAGAS for retrieval-quality scoring.
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