AI Enabled Quality Engineer at TeKnowledge

Responsibilities

• Provide quality assurance support to designated software across multiple concurrent projects
• Perform feature acceptance, regression, and UI testing
• Design, maintain, and execute test cases across database, unit, API, security, and UAT testing
• Build and maintain test automation across these testing layers
• Analyze design documentation and production requirements to define effective test strategies
• Create and maintain comprehensive test documentation
• Organize and track incident response activities
• Support audit and compliance activities, simplifying processes where possible
• Participate actively in the release process and ensure code is production-ready before deployment
• Collaborate closely with product managers, architects, and developers throughout the SDLC
• AI-Native Quality Engineering.

AI-Native Quality Engineering

• Apply AI tools (e.g., Claude, GitHub Copilot, Cursor) to generate test cases, test data, and documentation
• Use prompt engineering techniques to accelerate test design and edge-case identification
• Build AI-assisted automation across database, unit, API, security, and UAT testing
• Use AI tools to identify defects, vulnerabilities, and performance issues earlier in the cycle
• Critically evaluate AI-generated test artefacts and validate their correctness before use
• Contribute to internal AI-assisted testing frameworks and reusable patterns

Qualifications

Experience

• Minimum 2 years of proven experience in a similar Quality Engineering or Software Testing role
• Demonstrated experience in test case design, maintenance, and execution
• Good theoretical knowledge of QA and software testing principles and the software development process
• Specialization in Computer Science or Software Engineering
• Intermediate English, both written and oral

Technical Skills

• Experience with API testing
• Experience with test automation
• Familiarity with testing across multiple layers (database, unit, API, security, UAT)
• Experience using a test management tool
• AI & Automation Skills
• Familiarity with AI-assisted testing or coding tools (e.g., Claude, Copilot, Cursor)
• Ability to validate and refine AI-generated test artefacts

Preferred Qualifications

• Experience with performance testing
• Experience with security testing
• Working knowledge of SQL or relational databases for database testing
• Familiarity with prompt engineering for test case generation
• Experience contributing to continuous testing pipelines