Role Summary
We are seeking an experienced Agentic AI Automation QA Engineer to help drive the evolution of automated testing and quality engineering across critical application initiatives. This role will be instrumental in designing scalable test automation solutions while leveraging AI powered tools to improve testing efficiency, development speed, and overall software quality.
The ideal candidate combines strong automation engineering expertise with a forward thinking approach to AI assisted development. You will work closely with engineering, product, and business stakeholders to validate requirements, develop automated testing frameworks, support release readiness, and ensure applications meet the highest quality standards throughout the software development lifecycle.
Key Responsibilities
Design, develop, and maintain automated testing frameworks using Playwright and TypeScript
Create, execute, and optimize automated test cases within Behavior Driven Development frameworks
Leverage AI tools to accelerate test development, script generation, and automation efficiency through effective prompt design
Collaborate with business and technical stakeholders to validate requirements and ensure comprehensive test coverage
Integrate automated test suites into CI/CD pipelines to support continuous testing and release processes
Perform manual smoke testing and quality validation activities when required
Maintain test documentation, quality metrics, defect tracking, and testing standards
Troubleshoot automation issues and continuously improve framework stability, maintainability, and performance
Key Requirements
4+ years of experience in QA Automation, Test Engineering, or Quality Engineering roles
Strong hands on experience developing automated test solutions with Playwright
Advanced proficiency in TypeScript and modern test automation practices
Experience working with Behavior Driven Development frameworks and methodologies
Strong understanding of automation framework architecture, test strategy, and scalable quality engineering practices
Experience with Jira, Jenkins, CI/CD pipelines, and automated software delivery processes
Ability to collaborate effectively with both technical and nontechnical stakeholders across multiple teams
Excellent communication, analytical thinking, problem solving, and organizational skills
Preferred Qualifications
Experience utilizing AI assisted development platforms such as Claude, Gemini, Cursor, Copilot, or similar technologies
Knowledge of prompt engineering techniques for software testing, automation, and quality assurance use cases
JavaScript development experience within modern application environments
Familiarity with Jenkins pipeline scripting and advanced automation workflows
Experience supporting AI enabled software development practices and engineering productivity initiatives
Understanding of modern Agile, Scrum, or DevOps delivery methodologies
Why Join This Opportunity
Work at the intersection of quality engineering, automation, and emerging AI technologies
Help shape the future of AI assisted software testing and development practices
Contribute to highly visible initiatives that impact enterprise scale applications
Collaborate with talented engineering, product, and business professionals
Influence automation strategy, framework design, and quality engineering best practices