QA Automation Engineer – AI Factory
Type of contract
The AI Factory is dedicated to advancing our management software through AI innovation. Our primary goal is to seamlessly integrate AI features into our product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.
The challenge we have for you:
As a QA Automation Engineer, you will be responsible for designing, implementing, and executing automated testing strategies to validate the functionality and performance of our Generative AI applications. In addition to traditional QA responsibilities, you will be at the forefront of ensuring the quality control and automation of our innovative Generative AI technologies, involving exploration and trial-and-error approaches.
You will be responsible for:
– Design, develop, and execute automated test scripts for functional, regression, and performance testing of Generative AI applications.
– Collaborate with cross-functional teams to integrate automated testing into the continuous integration and deployment (CI/CD) pipeline.
Generative AI Quality Control:
– Work closely with the development team to understand the intricacies of Generative AI applications.
– Explore and implement innovative approaches to automate quality control processes specific to Generative AI, adapting to the evolving nature of the technology.
– Engage in exploratory testing to identify potential issues and areas for improvement in Generative AI models and applications.
– Collaborate with data scientists and developers to understand the nuances of Generative AI algorithms and their impact on application behavior.
Trials and Iterations:– Embrace a trial-and-error approach to refine and improve testing strategies for Generative AI applications.
– Iterate on automated testing methodologies based on feedback and evolving project requirements.
Documentation:– Create and maintain comprehensive documentation for automated test scripts, test plans, and test cases related to Generative AI applications.
– Bachelor’s or Master’s degree in Computer Science or a related field.
– Proven experience (3+ years) as a QA Automation Engineer with expertise in test automation frameworks;
– Strong programming skills, preferably in languages such as Python or Java;
– Familiarity with testing Generative AI applications or a keen interest in exploring this domain;
– Experience with CI/CD pipelines and integration of automated testing into development workflows.
– Annual bonus based on the achievement of goals;
– Hybrid and flexible work model;
– 25 days of vacation per year;
– Health insurance;
– Access to online learning platforms and in house academy;
– Opportunities for training and certifications;
– Integration into a dynamic, enthusiastic, and continuously growing team.
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