Middle/Senior QA Automation Engineer (AI SaaS)

Job description

Our Customer:

Our customer develops AI-powered voice and SaaS solutions that connect intelligent bots and agents with communication platforms. The engineering environment combines modern test automation technologies with AI-assisted development practices across cloud-based and on-premises solutions.

Your Tasks:

- Design, develop, and maintain automated tests using Python and Pytest.

- Incorporate AI-assisted development tools into daily testing and engineering activities.

- Design and apply AI-driven workflows and agents to support test development, analysis, troubleshooting, and automation.

- Collaborate with developers and other R&D team members throughout the software development lifecycle.

- Build and maintain test automation infrastructure and frameworks.

- Perform manual testing when required and identify areas where testing can be effectively automated.

- Investigate test failures, analyze logs and system behavior, and distinguish between product-related and automation-related issues.

- Contribute to improving the reliability and effectiveness of automated testing processes.

Required Experience and Skills:

- 3+ years of experience in QA Automation or Software Automation.

- Strong programming skills with hands-on experience in Python.

- Hands-on experience with AI-assisted development tools.

- Practical experience using AI as part of software development or testing workflows, including AI agents, AI-driven workflows, code generation, analysis, and automation.

- Ability to work effectively with AI tools through prompting, context management, validation of generated output, and iterative workflows.

- Hands-on experience with Pytest and automated testing frameworks.

- Experience with UI and/or API test automation.

- Experience with Git and Linux.

- Experience with Docker.

- Experience with cloud technologies; Azure is preferred.

- Strong debugging, troubleshooting, and research skills.

- Ability to understand complex systems and translate requirements into effective automated test coverage.

- Ability to learn independently and adopt new technologies.

- Good written and verbal communication skills.

- Fluent English.

Would Be a Plus:

- Experience with Playwright.

- Knowledge of LLMs and AI agents.

- Experience with Voice Bots.

- Experience with CI/CD pipelines.

- Kubernetes.

- Microservices architectures.

- SIP/VoIP.

- SaaS platforms.

- Experience testing AI-powered applications.