AI Enabled Quality Engineer

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.

Mindset & Ways of Working

• Quality-first thinking with strong attention to detail
• Bias toward automation — prefers automated coverage over repetitive manual effort
• Comfortable in rapid, iterative environments and across multiple concurrent projects
• Curious and proactive in adopting new tools and approaches
• Collaborative team player who works well across product, engineering, and architecture
• Analytical and methodical approach to problem-solving

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.

You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You’ll Enjoy It Here:

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

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
• 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