QA Engineer
Há 5 dias
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.
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