AI Automation QA Engineer (India)

AI Automation QA Engineer (India)

19 Aug
|
InStore.ai
|
India

19 Aug

InStore.ai

India

Company

InStore.ai helps organizations measure and improve in-person customer experiences by transforming voice conversations between frontline employees and shoppers into actionable insights. By focusing on cashier engagement and category-level intelligence, the company enables retailers and brands to better understand customer behavior at the point of sale. These real-time insights uncover opportunities to increase revenue, optimize operations, and reduce costs. InStore.ai works closely with clients to integrate its solutions into existing workflows, allowing teams to quickly act on findings and improve performance. The workplace is collaborative, data-driven, and focused on innovation in retail and customer experience analytics.

The Role

The AI Automation QA Engineer is a full-time remote role responsible for ensuring the quality and reliability of InStore.ai’s analytics and AI-driven platforms. Each day, this role designs, executes, and maintains test plans and test cases for new and existing features, with a focus on both functional and non-functional requirements.



The engineer is also involved in validating the quality, reliability, and performance of data ingestion workflows that support AI and machine learning systems. Responsibilities include performing manual and automated testing, testing structured and unstructured data pipelines, ensuring data accuracy, validating transformations, identifying ingestion failures, analyzing test results, documenting defects, and working with the team to prioritize and resolve issues. The role also contributes to improving QA processes, creating testing standards, and helping implement continuous testing practices within the development lifecycle.

The ideal candidate has experience testing APIs, data validation logic, cloud data platforms, and AI/ML data workflows. They should be comfortable working with engineers, data scientists, and product teams to understand business and technical requirements, identify edge cas

📌 AI Automation QA Engineer (India)
🏢 InStore.ai
📍 India

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