Senior AI Test Engineer, QA

Driven by a passion for innovation and excellence in quality assurance, we are expanding our capabilities in AI-powered testing. As we continue to transform the way mobile applications and hardware-integrated systems are validated, we are looking for a Senior AI Test Engineer to join our dynamic QA team.

In this role, you will lead the development of intelligent test automation frameworks, integrating cutting-edge AI technologies to ensure robust, scalable, and efficient testing of mobile applications and hardware-in-the-loop systems. You will work closely with cross-functional teams to drive quality across the release chain and contribute to the evolution of testing excellence.

What you will do

AI-Powered Test Automation for Mobile Applications

• Develop AI-driven automation solutions to validate Android and iOS mobile apps using intelligent test strategies.
• Implement machine learning models for smart test case generation, failure clustering, and test suite optimization.
• Use computer vision (e.g., OpenCV) and OCR to verify UI elements, gesture recognition, and layout accuracy.
• Apply reinforcement learning or search-based algorithms for autonomous exploratory and fuzz testing.
• Build ML-based prioritization systems that analyze crash data, user flows, and historical failures.

On-Premise Infrastructure Development for Scalable Test Execution

• Design and deploy scalable on-premise infrastructure to support parallel, high-throughput mobile app testing.
• Set up and maintain physical device labs with USB hubs, controlled power cycling, and automated device management.
• Integrate emulator/simulator orchestration into CI/CD pipelines using tools like Jenkins, GitLab CI, or Buildkite.
• Implement monitoring and alerting systems for device state, job scheduling, and infrastructure health.
• Automate provisioning, configuration, and teardown of test environments using infrastructure-as-code principles.

Hardware-in-the-Loop (HIL) Testing Architecture

• Build a HIL test framework integrating real mobile hardware and sensors with automated software testing workflows.
• Develop interfaces for controlling physical hardware via USB, Bluetooth, GPIO, or serial protocols during tests.
• Synchronize physical input/output with software test states using time-aligned signal processing and automation logic.
• Train AI models on proprietary hardware interfaces.
• Use containerized services and edge computing for reliable and scalable HIL orchestration.

AI and Open-Source Tooling Integration

• Utilize open-source AI/ML libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face for model development.
• Extend existing test frameworks like Appium or Espresso with custom AI-assisted components.
• Develop Python-based tooling to manage model training, inference, and integration into test workflows.
• Containerize models and automation agents with Docker and orchestrate workloads via Kubernetes when applicable.
• Build continuous learning loops from test data pipelines to retrain AI models for improved prediction accuracy.

What you bring

Experience

• 4+ years of hands-on experience in automation and AI-driven testing of mobile applications (Android and iOS).
• Strong background in building intelligent test automation frameworks using tools like Appium, Selenium, and Python.
• Proficiency in AI/ML technologies and libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn.
• Experience with CI/CD environments and infrastructure automation.
• Familiarity with hardware integration and HIL testing methodologies.

Personal competencies

• Technology-minded with a deep understanding of release chains and testing excellence.
• Strong analytical and problem-solving skills.
• Excellent communication skills in professional written and spoken English.
• Ability to operate independently and collaboratively in a fast-paced, innovation-driven environment.
• Passion for quality, automation, and continuous improvement.

Who we are

We are a forward-thinking team committed to redefining quality assurance through AI and automation. By combining deep technical expertise with a passion for innovation, we aim to build smarter, faster, and more reliable testing systems that support the next generation of mobile and hardware-integrated products.

Join us and be part of a team that values diversity, collaboration, and the pursuit of excellence.