
AI Automation Quality Assurance Specialist
11 hours ago
Talent is distributed, but opportunities are not. We break this pattern by building an AI-enabled talent platform connecting top-tier professionals with innovative companies across the US. As a fast-growing startup, we focus on impactful growth, agile strategies, and exceptional results.
Role OverviewThis QA Engineer will ensure the reliability, performance, and scalability of our AI-powered automation products. They will own the end-to-end quality assurance process—designing and executing test strategies, building automated test frameworks, and pioneering AI-driven QA approaches.
This role is ideal for someone with a strong software engineering background who is passionate about quality, eager to explore cutting-edge QA technologies, and thrives in a fast-paced startup environment.
Key Responsibilities- Define and execute 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.
Develop a thorough understanding of the product requirements and identify areas that require additional testing.
Automation DevelopmentDesign and implement automated test suites (unit, integration, regression, performance, end-to-end).
Ai-Powered QA & InnovationResearch, evaluate, and implement AI-driven QA tools and methodologies.
Cross-Functional CollaborationPartner with engineers to ensure test coverage and quality gates are embedded in the development process.
Continuous ImprovementDrive a culture of quality and reliability across the organization.
A Day in the LifeMorning
- Review overnight CI/CD test runs, investigate failures, and triage issues.
- Meet with Engineering to discuss new feature test coverage.
Late Morning
- Develop automated test scripts for a new API integration.
- Explore an AI-based tool for generating synthetic test data.
Afternoon
- Run end-to-end validation on a new customer-facing automation workflow.
- Host a short sync with Product to clarify acceptance criteria.
End of Day
- Document reusable test patterns.
- Research the latest in AI-assisted QA frameworks and propose experiments.
- 3+ years of experience in QA, software engineering, or test automation.
- Strong programming skills in Python and/or JavaScript.
- Solid understanding of APIs, system integrations, and test automation frameworks.
- Experience with CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab CI).
- Familiarity with AI/ML-driven testing tools (or strong desire to learn and implement).
- Strong problem-solving skills and ability to break down complex systems into testable components.
- Excellent communication skills—able to partner with engineers, product managers, and non-technical stakeholders.
- Detail-oriented and relentless about ensuring product quality.
- Self-motivated, resourceful, and curious about new technologies.
- Comfortable working in a dynamic startup environment.
- Passionate about automation, AI, and building high-quality software.
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