Generative AI QA Engineer
10 hours ago
Rekor Systems, Inc. ) (NASDAQ: REKR) is a trusted global authority on Roadside Intelligence, providing innovative solutions that make the world safer, smarter, and more efficient. Rekor's products combine IoT technology, connected vehicle telemetry data, computer vision, and machine learning to power the future of Public Safety, Urban Mobility, and Traffic Management. With our disruptive technology and integrated solutions, we deliver a transformative global impact for customers and citizens every day.
As a Generative AI QA Engineer, you will play a key role in transforming Rekor's QA processes through automation, intelligence, and Generative AI innovation. You will own the QA lifecycle end-to-end — from test design and manual verification to implementing intelligent, AI-driven automation systems that elevate product quality across Rekor's platforms. You will work closely with Fullstack, Product, BI, QA, AI & ML teams, and Data Engineering to ensure system reliability, accuracy, and scalability. In this role, you will lead Rekor's transition from legacy QA frameworks to next-generation, AI-powered testing systems that redefine how quality is achieved.
Key Responsibilities
- Own the QA Lifecycle — design, execute, and maintain comprehensive QA processes. In areas without automation, perform manual verification, write clear test documentation (STDs), ensure release readiness, and strive to automate them using modern frameworks and AI-driven solutions.
- Lead the Transition to AI-Driven Testing Frameworks — spearhead the modernization of Rekor's QA automation architecture by integrating Generative AI into scalable testing infrastructures.
- Modernize and Migrate Legacy QA Systems — lead the migration from existing automation frameworks to next-generation, AI-driven systems designed for performance, maintainability, and intelligence.
- Collaborate Across Disciplines — work closely with Fullstack, Product, BI, QA, AI & ML teams, and Data Engineering to embed intelligent quality validation throughout the product lifecycle.
- Design and Build AI-Driven QA Systems — leverage Generative AI to accelerate test creation, execution, and reporting; improve coverage and precision through intelligent automation.
- Continuously Improve QA Processes — innovate automation coverage, enhance bug detection, and evolve predictive quality analysis with AI-enhanced insights.
Must Have
- At least 2 years of QA engineering experience, including writing STDs, performing manual verification, and testing REST APIs, cloud-based solutions, and SaaS environments.
- At least 1 year of production-grade experience working directly with Generative AI tools such as Claude Code, Cursor, and GitHub Copilot.
- Proven hands-on experience with test automation frameworks such as Pytest, Selenium, Playwright, or Cypress.
- Strong analytical and problem-solving abilities, with a deep commitment to quality and continuous improvement.
Advantages
- Hands-on experience with Sub-Agents and Automated Workflow Systems such as n8n, Make, or similar orchestration platforms.
- Experience with AI-driven end-to-end automation systems such as TestGrid.
- Solid programming skills in Python, JavaScript, or similar languages.
Preferred Attributes
- Passion for integrating Generative AI into engineering and testing workflows.
- Excellent collaboration and communication skills across cross-functional teams.
- A growth mindset focused on innovation, scalability, and automation excellence.
Job Location:
Tel-Aviv, Israel
#LI-Hybrid #LI-Onsite
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