We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.
This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.
Job Description- Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
- Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
- Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
- Document defects, observations, and actionable feedback for engineering and product development teams.
- Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
- Re-test resolved issues and verify fixes as new builds become available.
- Maintain detailed testing documentation and ensure traceability of validation results.
- Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
- Strong attention to detail with excellent analytical and problem-solving skills.
- Ability to interpret test results and identify discrepancies.
- Experience documenting defects and working with engineering teams to resolve issues.
- Good written and verbal communication skills.
- Familiarity with software testing methodologies and defect lifecycle management.
- Exposure to Agile development environments is preferred.
- Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline
- 5-8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis
- Strong attention to detail with excellent analytical and problem-solving skills
- Ability to interpret test results and identify discrepancies
- Experience documenting defects and working with engineering teams to resolve issues
- Good written and verbal communication skills
- Familiarity with software testing methodologies and defect lifecycle management
- Exposure to Agile development environments
- Experience with AI-assisted testing or automation tools
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
