AGENTICAI QA LEAD @ 1 POINT SYSTEM
We are seeking a highly skilled AgenticAI QA Lead to join our team for an urgent full-time role based in Toronto. The successful candidate will be responsible for overseeing the quality assurance processes of complex AI-driven systems, focusing on Large Language Models and agentic workflows. You will play a pivotal role in ensuring the reliability and performance of cutting-edge AI technologies through rigorous testing and automation strategies.
This position requires a deep technical understanding of both traditional QA methodologies and modern AI/ML frameworks. You will work closely with development teams to integrate AI models and develop robust automation frameworks using tools like Selenium and Playwright. If you are passionate about the intersection of AI and quality engineering and thrive in a fast-paced environment, this permanent position offers an excellent opportunity to grow your career in the evolving field of Generative AI.
This position requires a deep technical understanding of both traditional QA methodologies and modern AI/ML frameworks. You will work closely with development teams to integrate AI models and develop robust automation frameworks using tools like Selenium and Playwright. If you are passionate about the intersection of AI and quality engineering and thrive in a fast-paced environment, this permanent position offers an excellent opportunity to grow your career in the evolving field of Generative AI.
Key Requirements
Strong understanding of Large Language Models (LLMs) and Retriever-Augmented Generation (RAG).
Expertise in agentic systems and AI/ML architectures.
Extensive experience with automation frameworks like Selenium, Playwright, or RestAssured.
Proficiency in AI-enabled testing platforms and tools.
Strong programming skills in Python or Java for scripting and model integration.
Deep knowledge of software testing methodologies, including API and UI testing.
Proven ability to perform database validation and backend testing.
Exceptional problem-solving skills with a focus on debugging complex systems.
Leadership experience in a QA or Quality Engineering environment.
Ability to work a permanent, full-time schedule in Toronto.
Solid understanding of the Software Development Life Cycle (SDLC) and Agile practices.