AI Enabled Quality Engineer at TeKnowledge

Job ID: 2026-17476

Overview

• We are building an AI-Native Engineering team and are looking for Quality Engineers who use modern AI tools as a core part of how they design, execute, and automate testing.
• Working as part of a team across multiple projects simultaneously, you will provide quality assurance support to designated software, organise and track incident response activities, and simplify audit and compliance work.
• You will collaborate closely with product managers, architects, and developers across the full testing spectrum — database, unit, API, security, performance and UAT — to ensure that code is production-ready before it ships.
• The ideal candidate is detail-oriented, automation-minded, and proactive in adopting tools that improve test coverage and speed. If this describes you, we would like to hear from you.

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
• Analyse design documentation and production requirements to define effective test strategies
• Create and maintain comprehensive test documentation
• Organise 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 of 2 years 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
• Specialisation 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.