Join AI Squared as a QA Engineer to drive testing excellence through automation in a fully remote environment.
Posted by employer 9 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the QA Engineer will focus on designing and maintaining automated test suites to enhance the quality of AI products, ensuring that 80% of integration tests are automated. Key skills include proficiency in JavaScript, Python, and Ruby, along with experience using testing frameworks like Playwright and Selenium. This position is ideal for someone with at least two years of QA/SDET experience who thrives in a self-directed, remote environment and is eager to tackle complex testing challenges. The team values proactive problem-solving and a deep understanding of the AI ecosystem.
Quick facts
- Is the QA Engineer role remote?
- Yes — AI Squared lists this as a fully remote position.
- How much experience is required?
- At least 2 years of relevant experience for this QA Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: JavaScript, Jest, Playwright, Python, Ruby, Selenium.
- What seniority level is this role?
- AI Squared targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this QA Engineer role at AI Squared.
From the original posting
Position Overview
We are seeking a skilled and proactive QA SDET – 2 to join our distribution team. This isn't your typical "just run the test cases" role. We need someone who can deeply understand our AI ecosystem, take ownership of quality across the product, and drive testing excellence through automation and first-principles thinking. You'll work autonomously in a remote environment, requiring strong self-direction, excellent communication, and genuine curiosity about both the product and the testing craft.
You will be responsible for
- Design, develop, and maintain automated test suites with a goal of automating 80% of integration tests, ensuring comprehensive coverage and reliability.
- Go beyond surface-level testing by truly grasping how our AI product works, the user journey, edge cases, and potential failure modes.
- Identify quality risks early, surface issues before they reach production, and continuously improve our testing processes without waiting to be told.
- Build reusable test frameworks and components using modern testing tools and best practices.
- Break down complex testing challenges from the ground up, questioning assumptions and designing effective test strategies.
- Produce clear video demonstrations of issues, test scenarios, and product features, along with well-structured documentation for test cases, automation frameworks, and quality processes.
- Own the delivery of an entire software development test suites and framework
- Work closely with cross-functional stakeholders to understand requirements, provide quality insights early in the development cycle, and ensure testability is built into features.
- Articulate quality concerns, test results, and recommendations clearly in a remote environment through written updates, documentation, and team discussions.
Requirements
- 2+ years of experience in QA/SDET roles with a strong focus on test automation and integration testing
- Proficiency in languages like JavaScript/TypeScript, Python, and Ruby for writing test automation
- Experience with tools like Playwright, Selenium, Jest, or similar frameworks for frontend and API testing
- Proven ability to design and implement comprehensive test strategies that cover complex user workflows
- Ability to break down problems from fundamentals, question assumptions, and design effective testing approaches rather than following rote processes
- Comfortable creating detailed documentation, test plans, bug reports, and asynchronous updates for a distributed team
- Takes initiative to identify issues, improve processes, and learn new technologies without constant direction
- Passion for understanding how things work, staying current with testing best practices, and diving deep into the AI/ML domain
- Proven ability to work effectively in a distributed team environment with minimal supervision