
Artificial Intelligence Quality Assurance Specialist
1 day ago
Talent is distributed, but opportunities are not. We're breaking that pattern by building an AI-enabled talent platform that connects top-tier professionals with innovative companies.
As a fast-growing startup, we focus on impactful growth, agile strategies, and exceptional results.
Job Title: QA EngineerAbout the RoleWe're looking for a skilled QA Engineer to ensure the reliability, performance, and scalability of our AI-powered automation products.
You'll own the end-to-end quality assurance process—designing and executing test strategies, building automated test frameworks, and pioneering AI-driven QA approaches across multiple products.
Key Responsibilities- Test Strategy & Planning
- Define comprehensive QA strategies for AI automation products.
- Collaborate with Engineering, Product, and Solution Enablement teams to translate requirements into robust test plans.
- Identify potential edge cases, failure points, and system-level risks early in the development lifecycle.
- Automation Development
- Design and implement automated test suites (unit, integration, regression, performance, end-to-end).
- Write test automation in Python/JavaScript and integrate into CI/CD pipelines.
- Build reusable test frameworks that scale across multiple products and teams.
- AI-Powered QA & Innovation
- Research, evaluate, and implement AI-driven QA tools and methodologies.
- Apply AI to test generation, anomaly detection, log analysis, and continuous validation.
- Champion best practices for AI-enabled QA within the company.
- Cross-Functional Collaboration
- Partner with engineers to ensure test coverage and quality gates are embedded in the development process.
- Work closely with Product to define acceptance criteria and verify business-critical workflows.
- Proactively communicate quality status, risks, and improvements to leadership.
- Continuous Improvement
- Drive a culture of quality and reliability across the organization.
- Document test cases, frameworks, and QA processes for knowledge sharing.
- Stay ahead of emerging QA automation trends, tools, and AI technologies.
What You'll Need
To be successful in this role, you'll need:
- A strong software engineering background.
- Possession of quality and eagerness to explore cutting-edge QA technologies.
- The ability to thrive in a fast-paced environment.
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