Quality Assurance Engineer

AIM, a Canadian technology company specializing in API management, cloud engineering, security solutions, and full-stack software development, is seeking a Quality Assurance Engineer to join its remote team based in Pakistan. This full-time role reports to the QA Lead or Engineering Manager and offers the opportunity to work on scalable, secure digital platforms for enterprise clients across North America and globally. The ideal candidate will blend strong software testing fundamentals with hands-on experience in leveraging Generative AI tools within the Software Development Lifecycle (SDLC) to enhance quality engineering practices.

Key Responsibilities

Manual & Functional Testing: Design, develop, and execute detailed test plans and cases covering functional, regression, integration, smoke, exploratory, and user acceptance testing. Validate requirements and ensure comprehensive feature coverage for web and mobile applications. Identify, document, prioritize, and track defects until resolution.

API & Backend Testing: Perform API testing using tools like Postman, validating request/response payloads, authentication, and data integrity. Conduct backend testing and database validation through SQL queries.

Test Automation: Develop and maintain automated test suites using Selenium, Cypress, Playwright, or similar frameworks. Support CI/CD pipelines and continuously improve automation coverage and framework reliability.

AI-Assisted Quality Engineering: Utilize AI platforms such as Claude, ChatGPT, Microsoft Copilot, or Gemini to generate AI-assisted test cases, plans, and automation scripts. Accelerate exploratory testing and defect identification using AI-enhanced workflows. Conduct defect triage, root cause analysis, and produce high-quality QA documentation with AI assistance. Identify opportunities for engineering efficiency through responsible AI adoption.

Collaboration & Delivery: Work closely with Product Owners, Business Analysts, Developers, and DevOps teams. Participate in sprint planning, backlog grooming, reviews, and retrospectives. Contribute to QA best practices, standards, and process improvements. Support release validation and production readiness activities.

Required Qualifications

- Minimum 3 years of experience in software QA, Quality Engineering, or Software Testing.
- Proven automated testing experience with Selenium, Cypress, Playwright, or equivalent frameworks.
- Strong understanding of SDLC, STLC, Agile, and Scrum methodologies.
- Hands-on experience testing web and/or mobile applications.
- Proficiency in API testing using Postman or similar tools.
- Working knowledge of SQL for backend validation.
- Experience with QA platforms such as Jira, TestRail, or Zephyr.
- Practical use of Generative AI tools (Claude, ChatGPT, Microsoft Copilot, etc.) within the SDLC.
- Ability to demonstrate AI-assisted test design and automation techniques during the interview.
- Completion of at least one recognized AI certification prior to joining AIM.
- Strong analytical thinking, communication skills, and attention to detail.

Candidates must also demonstrate practical experience in AI-assisted test case creation, test strategy development, exploratory testing, defect identification, prompt engineering for QA, automation script generation, AI-powered documentation, and responsible use of Generative AI technologies.

Preferred Qualifications and Benefits

Experience working within CI/CD pipelines and familiarity with Azure DevOps, GitHub Actions, or Jenkins is advantageous. Candidates with exposure to cloud-native applications hosted on Azure, AWS, or GCP, as well as those experienced in testing AI-powered products, copilots, agents, or large language model-driven solutions, will be preferred. Knowledge of performance and security testing and experience collaborating with globally distributed engineering teams are additional assets.

Preferred certifications include Claude Certified Architect (Foundations) or Microsoft AI-related certifications such as Azure AI Engineer Associate (AI-102). Note that AB-730 may be considered supplementary but not as a primary AI qualification.

Why Join AIM

AIM offers a fully remote work environment with international client exposure and an AI-first engineering culture. Employees have the opportunity to work on cloud, AI, and enterprise software platforms, with strong support for certification and professional development. Career growth paths include automation engineering, QA leadership, and AI quality engineering specializations. Compensation is competitive and based on skills and experience.

Shortlisted candidates will be required to complete a practical AI-assisted QA assessment demonstrating their ability to integrate Generative AI tools into quality assurance workflows. This exercise evaluates skills in test planning, defect documentation, automation scripting, and overall AI-enhanced quality engineering approach. The ideal candidate thinks like a Quality Engineer, embraces AI as an enhancement tool, communicates effectively with stakeholders, and takes ownership of quality outcomes.