We are seeking a QA Engineer with experience validating data pipelines and AI systems, with a strong eye for both technical and business correctness.
- Experience testing data pipelines, API integrations, and reporting outputs
- Ability to validate software behavior, data correctness, and business logic simultaneously
- Experience building test cases for retry flows, escalation paths, schema drift, DQ checks, review queues, and NL query outputs
- Strong UAT coordination skills with business and technical stakeholders
- Ability to test AI-assisted systems with acceptance thresholds, golden datasets, and exception handling
We collaborate with cross-functional teams to ensure that data products, AI workflows, and reporting outputs meet quality and acceptance standards before release.
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Test data pipelines, API integrations, and reporting outputs for correctness and business logic compliance
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Build test cases covering retry flows, escalation paths, schema drift scenarios, DQ checks, review queues, and NL query outputs
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Validate AI-assisted systems against acceptance thresholds, golden datasets, and exception handling criteria
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Lead UAT coordination with business stakeholders
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Contribute to quality standards and release processes across the full data and AI platform
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Experience with benchmark datasets and evaluation methods for AI/NL query accuracy
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Paid vacations for 20 days after one year
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Referrals program and finder's fee rewards
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Training and certification programs
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Work from home aid
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English classes
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Access to a fitness program
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Profit sharing
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Coaching sessions for personal development
We're looking forward to working together! 🚀
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