Gen AI QA - Automation Testing (Senior Engineer / Engineer)
Company: Fractal Analytics
Location: Bengaluru
Type: Full-time
Posted: 2026-09-25
About this role
It's fun to work in a company where people truly BELIEVE in what they are doing!
*We're committed to bringing passion and customer focus to the business.*
About Fractal:
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the world's most admire Fortune 500 companies. Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work.
JOB DESCRIPTION:
The Quality Assurance Engineer will join our team and support the deployment and monitoring of quality standards. The QA Engineer will work with engineers across teams to develop a Quality Assurance framework for the entire organization and Gen AI platforms. As a QA Engineer you will be a part of the Data Management & Platforms team and will help drive quality throughout the entire data product lifecycle through collaboration with product and development teams, development of test cases and automation scripts, and analysis of the system to consistently deliver quality products to downstream consume.
RESPONSIBILITIES:
1. 5 + yrs of experience in a Data Testing role validating different aspects of data migration, ETL & DW testing practices.
2. Knowledge or working experience in Generative AI (GenAI) technologies is preferred.
2. Extensive knowledge of SQL for testing, analysis.
3. Exposure to testing in data migration. Familiarly with diff test approaches used for migration validation
4. Thorough knowledge of testing and defect management lifecycle.
5. Clear understanding of AWS ecosystem and data-related services such as S3, Glue etc.
6. Hands on experience on Python , Pytest and other common tools used for data testing automation (Automating Data ingestion, Validation, mapping,...