QA Engineer
Description For QA Engineer
Awin, established in 2000, is seeking a QA Engineer to join their innovative team focusing on AI-driven solutions. This role combines traditional QA expertise with specialized AI/ML testing knowledge, making it perfect for engineers passionate about quality assurance in cutting-edge technology.
The position offers a unique opportunity to work with large language models (LLMs) and advanced AI systems, ensuring their performance, accuracy, and user experience meet high standards. You'll be responsible for developing comprehensive test strategies, automated testing frameworks, and implementing quality assurance measures specifically tailored for AI applications.
The ideal candidate brings 3+ years of QA experience, with some focus on AI/ML systems. Strong programming skills in Python or JavaScript are essential, along with expertise in testing tools like Selenium, Postman, or Pytest. You'll need to understand both traditional QA methodologies and the unique challenges of testing AI systems, including bias, fairness, and explainability.
What makes this role particularly attractive is Awin's progressive work culture and exceptional benefits. They offer a flexible four-day work week with full pay, remote working allowance, comprehensive health benefits, and a strong commitment to work-life balance. The company promotes an inclusive, diverse environment and provides opportunities for both professional and personal development.
Working at Awin means joining a global team that values innovation, authenticity, and collaboration. Their virtual 'Life @ Awin' hub connects colleagues worldwide, fostering a strong community despite remote work arrangements. If you're passionate about quality assurance and want to shape the future of AI technology while enjoying excellent work-life balance, this role offers an exciting opportunity to advance your career.
Responsibilities For QA Engineer
- Create test plans, test cases and document them
- Develop and execute comprehensive test plans for AI and LLM-based applications
- Design automated test scripts and frameworks to validate AI functionality
- Conduct functional, regression, performance, and security testing
- Identify, document, and track defects to resolution
- Collaborate with cross-functional teams to establish best practices
- Implement testing strategies for bias, fairness, and explainability
- Provide feedback on system design
- Participate in the whole project lifecycle
- Identify potential problems/bugs in early development stages
- Own and help resolve bug issues
- Carry out risk assessments and risk-based testing
Requirements For QA Engineer
- 3+ years of experience in software quality assurance
- 1+ years focused on AI/ML systems preferred
- Detailed understanding of software testing pyramid
- Strong background in testing machine learning or AI-based products
- Expertise in Python or JavaScript for automated tests
- Experience with Selenium, Postman, or Pytest
- Solid experience in testing RESTful APIs and JSON
- Performance testing capabilities
- Understanding of data validation in AI pipelines
- Strong attention to detail
- Proactive problem-solving approach
- Information security knowledge
Benefits For QA Engineer
- Flexible four-day work week with full pay
- Remote working allowance
- Flexi-Office with hybrid/remote work possibilities
- Meal vouchers
- Health, vision, and dental insurance
- Remote working furniture package
- Peer-to-peer reward program
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