全职 Research Engineer, QC Automation 工作, 薪水, Kadir.ai LLC 公司招聘中 - Ricebowl

Company Description WorkCentral by ************* is an AI-native, compliance-focused HRIS and workforce operations platform designed for growing businesses and enterprises. Headquartered in Troy, Michigan, the company replaces fragmented HR tools with a unified platform that spans core HR, recruiting, onboarding, payroll, benefits, learning, and performance management. WorkCentral connects employee records, credentials, training, scheduling, payroll, and compliance to give leaders real-time insight into workforce readiness. The platform is built for compliance-heavy industries such as aviation, healthcare, manufacturing, financial services, and other growing businesses that need audit-ready records and proactive risk management. With AI-powered workflows, alerts, and centralized data, WorkCentral delivers enterprise-grade workforce capabilities without enterprise-level complexity or cost.
Role Description The Research Engineer, QC Automation role is a full-time, on-site position based in Singapore. This role focuses on designing, building, and maintaining automated quality control frameworks for AI-native HRIS and workforce operations features. Day-to-day responsibilities include developing test plans and automation scripts, creating tools to validate data integrity and compliance logic, and collaborating with product, engineering, and data science teams to ensure feature reliability. The role involves analyzing production issues, implementing automated regression and performance tests, and continuously improving QC processes for new modules and workflows. The engineer contributes to research and prototyping of advanced automation techniques to increase system robustness and support rapid product iteration.
Qualifications

• Strong foundation in software engineering and test automation, including experience with modern programming languages (e.g., Python, Java, or similar) and automated testing frameworks.
• Experience with quality engineering practices such as unit, integration, end-to-end, and performance testing, and familiarity with CI/CD pipelines and version control (e.g., Git).
• Background in data validation, data pipelines, or working with APIs and databases (SQL/NoSQL) to ensure data accuracy, consistency, and compliance.
• Understanding of AI/ML systems or rule-based engines, and ability to design automation to validate decision logic, workflows, and model behavior.
• Relevant degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Ability to collaborate with cross-functional teams, document technical findings clearly, and communicate quality risks and recommendations effectively.
• Experience in HR tech, enterprise SaaS, or compliance-driven domains (e.g., aviation, healthcare, financial services) is beneficial.
• Comfort working in an on-site environment, taking ownership of QC automation initiatives, and continuously learning new tools and methodologies.