AI Enabled Quality Engineer at TeKnowledge
At TeKnowledge, we turn complexity into clarity â and potential into progress. We go beyond problem-solving to transform how you grow. By blending cutting-edge technology with expert insight, we help enterprises, governments and tech vendors tackle their biggest challenges while preparing them for whatâs next. From strategy to execution, we drive smarter, faster, and more sustained innovationâempowering organizations with the capability and control to lead with confidence.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