Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! WHAT YOU WILL DO - Architect and oversee end-to-end test strategies across different layers of the testing pyramid; - Define, evaluate, and monitor model validation criteria, including accuracy thresholds, confidence scoring, fallback behaviors, and more; - Drive automation of QA processes, ensuring robust, scalable solutions for data ingestion, extraction, and classification; - Lead validation of integration points between AI components and business logic, identifying risks and ensuring seamless operation; - Own, maintain, and evolve test infrastructure, specifically CI/CD quality gates, data generation, and automated validation scripts; - Establish and monitor key quality metrics aligned with business goals, including turnaround time, confidence scores, and user corrections; - Act as a strategic partner to Product and Engineering teams, advocating for quality from design through delivery; - Stay up to date with the latest AI technologies and explore how to apply advancements to solve previously impossible challenges for our customers; - Take ownership of code quality through exploratory and automated testing. MUST HAVES - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience ; - 2–3 years of experience in AQA, Software Test Engineering, or related roles, including leadership responsibilities; -Experience in AQA JavaScript ; - Solid knowledge of the software development life cycle (SDLC), Agile methodologies, and QA/QE best practices; - Proven experience building and scaling test automation frameworks (e.g., Pytest, Cypress, Selenium, Postman); - Strong technical skills in working with REST APIs, data pipelines, backend services, and cloud platforms (e.g., AWS, Azure); - Exceptional attention to detail and a mindset for building robust systems that catch issues early and protect the user experience; - Demonstrated ability to learn quickly and proactively—especially important in the rapidly evolving field of AI; - Upper-Intermediate English level. NICE TO HAVES - Experience testing AI/ML systems in production environments; - Familiarity with GenAI model evaluation metrics; - Experience setting up proactive monitoring and alerting systems to detect model drift, performance degradation, or workflow failures. THE BENEFITS OF JOINING US - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process. Requirements Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience; 2–3 years of experience in AQA, Software Test Engineering, or related roles, including leadership responsibilities; Experience in AQA JavaScript; Solid knowledge of the software development life cycle (SDLC), Agile methodologies, and QA/QE best practices; Proven experience building and scaling test automation frameworks (e.g., Pytest, Cypress, Selenium, Postman); Strong technical skills in working with REST APIs, data pipelines, backend services, and cloud platforms (e.g., AWS, Azure); Exceptional attention to detail and a mindset for building robust systems that catch issues early and protect the user experience; Demonstrated ability to learn quickly and proactively—especially important in the rapidly evolving field of AI; Upper-Intermediate English level.