Quality Assurance Automation Engineer

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

At least 3 years of experience working with large set of data and QA automation.


About Forage AI


What you’ll do

  • Collaborate closely with data operations and engineering teams to align test plans with client requirements
  • Design, develop, and maintain automated test scripts using Selenium, HTML, JavaScript, N8N, and Python
  • Build and run regression test suites to ensure stability and reliability across datasets
  • Design and execute evals for GenAI-powered solutions to measure accuracy, consistency, and edge-case handling
  • Provide clear, concise feedback to stakeholders, bridging the gap between technical and non-technical teams
  • Identify, document, and track bugs or inconsistencies, ensuring timely resolution
  • Support operational workflows by validating data quality and system performance


What we’re looking for

  • Relentlessly detail-oriented, with a deep commitment to raising the bar in QA and operations
  • Excellent communication skills - able to translate complex findings into actionable insights and act as the bridge between QA and Dev teams
  • Strong hands-on experience with Selenium, HTML, JavaScript, XPath, and Python
  • Solid understanding of databases, including querying and interacting with them effectively
  • At least 3 years of experience working with data and/or QA automation.
  • Experience collaborating with developers to integrate, orchestrate, and maintain automated QA scripts within the development workflow
  • Experience testing AI/GenAI solutions (prompt testing, output validation, error detection)
  • Strong foundation in QA principles, automation frameworks, and test case design
  • Analytical thinker with the ability to spot patterns and edge cases in large datasets
  • Comfortable working in fast-paced, dynamic environments with evolving requirements


Nice to have

  • Experience with VBA / Apps Script
  • Exposure to AWS systems like S3, DynamoDB, or MongoDB


Other Infrastructure Requirements

Since this is a fully remote position, you will also need:

  • High-speed internet connectivity for video calls and efficient work
  • A capable business-grade computer (e.g., modern processor, 8GB+ RAM)
  • A dedicated home workspace for uninterrupted and efficient work
  • Headphones with clear audio quality
  • Stable power connection with backup options in case of internet/power outages

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