Senior AI Quality Assurance Specialist

3 days ago

Varanasi, Uttar Pradesh, India beBeeQuality Full time ₹ 24,000 - ₹ 33,840
Job Summary

This role involves leading quality assurance for an AI-powered property management platform. The successful candidate will be responsible for testing the AI agent behaviors, third-party API integrations, and full-stack application functionality.

Main Responsibilities
  • Design test strategies for AI agent decision-making, cross-agent workflows, and performance optimization.
  • Test complex third-party integrations including Yardi, Elisa AI, Twilio, payment systems, and marketplace APIs.
  • Validate real-time data synchronization, conflict resolution, and webhook processing.
  • Conduct performance testing for high-volume concurrent operations and load scenarios.
Platform Testing & QA Management
  • Execute comprehensive testing of Django REST APIs and Angular frontend applications.
  • Test multi-tenant architecture, security, real-time dashboards, and mobile applications.
  • Develop automated testing frameworks and integrate with CI/CD pipelines.
  • Manage QA processes, documentation, defect tracking, and team coordination.
Required Qualifications
  • Experience in AI/ML testing with 2+ years testing AI systems, model validation, and automation.
  • Extensive REST API testing and third-party integration validation.
  • Full-stack testing experience with Django, Angular, database, and cloud platform.
  • Advanced automation framework development and implementation.
Technical Skills
  • Testing tools: Selenium, Cypress, pytest, Jest, Postman.
  • Programming languages: Python, JavaScript/TypeScript, SQL scripting.
  • Platforms: Django REST Framework, Angular, PostgreSQL, AWS, Docker.
  • CI/CD: GitLab CI, automated testing integration, deployment validation.
Preferred Experience
  • Property management or real estate software testing.
  • Financial system testing and reconciliation validation.
  • QA team leadership and process optimization.
  • Security testing and compliance validation.
Key Focus Areas
  • AI agent accuracy, performance metrics, and decision validation.
  • Complex workflow automation and cross-system integration.
  • Financial operations, payment processing, and audit compliance.
  • Real-time data synchronization and performance optimization.
  • Multi-role user interfaces and mobile application functionality.
Application Requirements
  • A portfolio demonstrating complex SaaS platform testing.
  • Experience with AI/ML system validation.
  • Strong analytical and problem-solving skills.
  • Understanding of automation and integration testing strategies.

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