Responsabilidades
🤓 As a QA Engineer, the company expects you to perform the following tasks:
- Experience testing LLM/NLP-powered chatbots to ensure natural, context-aware, and accurate interactions.
- Strong understanding of intent recognition and fallback handling within conversational AI environments.
- Ability to validate IVR flows (e.g., Talkdesk) with a focus on voice logic, flow accuracy, and user experience.
- Proficiency in end-to-end testing of integrations (e.g., Zendesk), ensuring data consistency and platform reliability.
- Experience defining scalable QA processes, with an emphasis on automation-readiness and continuous improvement.
- Skilled in writing detailed test cases and regression suites for conversational and voice interfaces.
- Ability to collaborate cross-functionally with product managers, engineers, and conversation designers.
- Familiarity with automated testing tools and scripts, especially for APIs and regression coverage.
- Experience conducting User Acceptance Testing (UAT) and simulating real-user interactions for both chat and voice.
- Strong documentation and reporting skills, including tracking defects, test coverage, and model behavior insights.
Requisitos
✨ You are the person they are looking for if you have....
- Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
- At least 2 years of QA experience, ideally testing AI-powered applications, chatbots, or conversational systems.
- Hands-on experience with LLM/NLP-based systems (e.g., GPT, Dialogflow, Rasa) is highly preferred.
- Familiarity with IVR testing (Talkdesk or similar) and platforms like Zendesk.
- Strong knowledge of QA methodologies, test case design, and defect tracking tools (e.g., Jira, TestRail).
- Experience with automation tools such as Selenium, Postman, or Cypress.
- Understanding of NLP/LLM concepts, including intents, entities, prompt testing, and model behavior.
- Excellent communication skills and ability to collaborate cross-functionally, documenting findings clearly.
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