Job summary
Job post source
This job is directly from Talently
Job overview
The QA Engineer role at Talently focuses on ensuring the quality and accuracy of AI-powered conversational systems, including chatbots and IVR platforms, contributing to reliable user interactions.
Responsibilities and impact
The QA Engineer is responsible for testing LLM/NLP chatbots, validating IVR flows, performing end-to-end integration testing, defining scalable QA processes, writing detailed test cases, collaborating cross-functionally, using automated testing tools, conducting UAT, and documenting defects and test coverage.
Experience and skills
Candidates need at least 2 years of QA experience, preferably with AI-powered applications, hands-on experience with LLM/NLP systems, familiarity with IVR and platforms like Zendesk, strong QA methodology knowledge, automation tool experience, and excellent communication skills.
Company overview
Talently is a company focused on connecting skilled professionals with job opportunities, primarily in the tech industry. They generate revenue through subscription-based services and partnerships with companies seeking to hire top talent. Founded with the mission to bridge the gap between talent and opportunity, Talently has developed a platform that offers career development resources, mentorship, and personalized job matching. The company emphasizes continuous learning and skill enhancement, making it an attractive option for both job seekers and employers looking for qualified candidates.
How to land this job
Position your resume to highlight your 2+ years of QA experience, especially with AI-powered applications, chatbots, or conversational systems, emphasizing hands-on work with LLM/NLP-based systems like GPT, Dialogflow, or Rasa.
Focus on showcasing your proficiency in QA methodologies, test case design, defect tracking tools such as Jira and TestRail, and automation tools including Selenium, Postman, or Cypress to align with Talently's requirements.
Apply through multiple channels, including Talently's official corporate website and LinkedIn, to maximize your chances of being noticed for the QA Engineer role.
Connect with QA engineers or team members in the conversational AI or product divisions at Talently on LinkedIn. Use ice breakers like commenting on recent AI projects they've worked on or asking about their experience with LLM testing and automation strategies.
Optimize your resume for ATS by incorporating keywords from the job description such as 'LLM/NLP testing,' 'chatbots,' 'automation tools,' 'IVR testing,' 'Jira,' and 'regression suites' to ensure your application gets past initial screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, find all relevant application portals, and identify useful LinkedIn contacts for networking, saving you time and increasing your chances of success.
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