This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior QA Engineer - AI Native and Agentic Systems based in India. This role offers the opportunity to redefine quality engineering by building autonomous, AI-driven testing systems for next-generation software products. You will design and operate intelligent QA frameworks that continuously explore applications, discover defects, and improve product reliability. The position goes beyond traditional test automation, focusing on agentic systems, AI-powered exploration, and real-time feedback loops. You will collaborate closely with engineering teams to ensure quality is embedded throughout the development lifecycle. This is an ideal opportunity for a forward-thinking QA professional who enjoys designing systems, solving complex problems, and applying AI to transform software quality. The role is remote and provides the autonomy to shape innovative QA practices from the ground up. ### Accountabilities: The Senior QA Engineer will own the design and evolution of an AI-native quality engineering approach, creating autonomous systems that improve software reliability and accelerate development. This role requires a strong understanding of QA strategy, automation, AI-driven testing, and the ability to build scalable quality processes. - Design and develop AI-driven QA systems that autonomously explore applications, APIs, workflows, and edge cases. - Build intelligent testing solutions that generate and execute tests dynamically based on product behavior. - Create QA agents that integrate with development workflows and provide real-time feedback to engineering teams. - Establish continuous testing loops that help identify and resolve issues throughout the development lifecycle. - Validate quality across web applications, backend services, APIs, data flows, and end-to-end user journeys. - Develop systems for intelligent defect discovery, including functional issues, workflow failures, regressions, and reliability risks. - Ensure identified issues are reproducible, verified, and clearly communicated to technical stakeholders. - Build always-on QA capabilities that continuously adapt as products evolve. - Define quality standards, release readiness criteria, and evidence-based quality thresholds. - Partner with engineering teams to improve development velocity through proactive quality ownership. ## Requirements: The ideal candidate is a QA professional who views quality engineering as a system design challenge rather than a checklist-driven activity. This role requires strong technical expertise, experience with automation, and a passion for applying AI to improve software testing. - 3+ years of experience in QA, including both manual testing and automation. - Strong understanding of software development lifecycle processes, testing strategies, and complex system failure modes. - Hands-on experience with UI automation tools such as Playwright, Cypress, or Selenium. - Experience with API testing and validating complex software workflows. - Demonstrated experience using AI in QA beyond basic test generation. - Knowledge of autonomous testing, AI-assisted exploratory testing, or intelligent test orchestration. - Ability to explain how AI-driven systems determine testing priorities and coverage. - Experience designing QA frameworks, platforms, or scalable testing solutions is strongly preferred. - Experience integrating QA processes into CI/CD pipelines at a system level. - Knowledge of performance testing, reliability testing, or large-scale system validation is an advantage. - Experience working with healthcare, regulated industries, or compliance-focused environments is a plus. - Strong analytical thinking, problem-solving skills, and ability to communicate technical concepts clearly. - Ability to work remotely with overlap during US Pacific working hours. ## Benefits: This role provides the flexibility of remote work while offering the opportunity to contribute to innovative AI-driven quality engineering initiatives. - Remote-first work environment for candidates based in India. - Equipment stipend to support an effective remote setup. - Local holiday benefits aligned with India-based employees. - Learning and development budget covering QA, security, cloud technologies, and AI tools. - Opportunity to work on advanced AI-native systems and emerging technologies. - High ownership role with the ability to influence QA strategy and engineering practices. - Exposure to cutting-edge approaches in autonomous testing and agentic software development. - Flexible environment focused on innovation, learning, and continuous improvement. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1