Software Engineer, QA

We are seeking a skilled and proactive QA Engineer to join our team and ensure the reliability, accuracy, and robustness of our AI-powered products.

In this role, you will design and execute test strategies for our applications, APIs and machine learning models. Your work will involve automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver seamless, high-quality user experiences.

Key responsibilities include:

• Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience.
• Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models.
• Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization.
• Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases.
• Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues.

About you:

• You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products.
• You are proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing.
• You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently.
• You are autonomous and a self-starter.
• You are a proactive problem-solver with a continuous improvement mindset.
• You are proficient in Python or Typescript.

Now it would be ideal if you have:

• Experience testing Machine Learning models.
• Understanding of the Machine Learning lifecycle.
• Experience in various types of testing: performance, load, accessibility or others.
• Strong debugging skills.