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.
#J-18808-Ljbffr