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Remote hiring and mid-level experience increase applicant density despite niche LLM QA specialization.
Domain-specific LLM and conversational AI expertise reduces transferability, though QA fundamentals remain transferable.
Explicit 3–7 years and mandatory Conversational AI/LLM QA experience create strict filtering.
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Develop and execute manual and automated test cases for Conversational AI, Agentic AI, and LLM systems ensuring product quality.
Conduct various testing types including functional, regression, integration, and performance on AI-driven platforms.
Identify, document, and track defects using JIRA; produce comprehensive test reports and collaborate with cross-functional teams to maintain quality standards.
3–7 years of experience in software testing and quality assurance, with expertise in Conversational AI and Agentic AI/LLMs.
Experience in both manual and automation testing for AI applications.
Proficiency in defect tracking tools like JIRA and data analysis tools like Excel.
Location: Remote; Duration: Long Term Contract.
Experienced QA professional specialized in testing AI-driven conversational agents and LLM-based systems.
Comfortable working in fast-paced environments and collaborating with product managers and developers.
Skilled in designing tailored test strategies and continuously improving QA methodologies for evolving AI technologies.