AI Enabled Quality Engineer


  2026-07-28
  Victoria, Canada
  2026-17476
  Information Technology

At TeKnowledge, we turn complexity into clarity – 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 what’s next. From strategy to execution, we drive smarter, faster, and more sustained innovation—empowering organizations with the capability and control to lead with confidence.

We are recruiting to fill the position below:

Job Title: AI Enabled Quality Engineer

Job ID: 2026-17476
Location: Victoria Island, Lagos

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

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

AI-Native Quality Engineering:

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

Qualifications
Experience:

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

Technical Skills:

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

Preferred Qualifications:

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

Click link to Apply





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