Senior Quality Assurance Automation Engineer, webAI
+ Performance based incentives
Enterprise grade local AI applications
Job no longer available
Enterprise grade local AI applications
101-200 employees
Job no longer available
+ Performance based incentives
101-200 employees
Company mission
To revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
Role
Who you are
- This is a highly technical, hands-on role suited for someone who thrives in fast-paced environments, takes ownership of quality initiatives, and enjoys solving complex engineering challenges with a test-first mindset
- Bachelor’s degree in Computer Science, Engineering, or related technical field
- 5+ years of experience in test automation or software QA, with at least 2 years in a senior or lead capacity
- Expertise in one or more programming/scripting languages (e.g., Python, Go, JavaScript
- Deep experience with automation tools like Selenium, Playwright, or similar frameworks
- Strong understanding of CI/CD tooling (e.g., Gitlab runners, Jenkins, GitHub Actions) and version control systems (e.g., Git)
- Proficiency in API testing tools and methodologies (e.g., Postman, REST-assured, Swagger)
- Experience testing cloud-based or distributed systems
- Excellent problem-solving skills and a detail-oriented, analytical approach
Desirable
- Experience automating tests for distributed systems, edge computing, or AI/ML workflows
- Knowledge of Docker, Kubernetes, or other container/orchestration technologies
- Experience with performance, load, or security testing
- Experience with configuring gitLab runners
- Background in startup environments or agile product teams
What the job involves
- As a Senior QA Automation Engineer at webAI, you will lead the design, implementation, and optimization of our automated testing infrastructure
- You’ll take a proactive role in improving product quality, setting testing standards, and mentoring others on automation best practices
- You’ll work cross-functionally with engineering, DevOps, and product teams to ensure high confidence in every release of our distributed AI platform
- Design, develop, and maintain advanced automation frameworks and test suites, leveraging AI/ML for smarter, more resilient, and self-healing testing
- Collaborate with product owners, developers, and data engineers to define and implement comprehensive AI-first test strategies and plans that align with business requirements and project goals
- Identify, document, and track bugs through resolution using tools like Jira
- Develop and maintain QA documentation, including test plans, test cases, and test data
- Define testing strategies, edge cases, and automation goals
- Monitor product quality metrics and proactively suggest process improvements
- Ensure testing of AI models and edge-deployed systems aligns with privacy and performance expectations
- Integrate automated tests into CI/CD pipelines and ensure test coverage across new and existing features
- Mentor junior QA engineers, conduct code reviews, and promote a culture of quality, accountability, and best practices across the engineering teams
- Contribute to overall quality initiatives by identifying inefficiencies and proposing automation-based solutions
Our take
On a mission to democratize artificial intelligence, WebAI has built a decentralized development platform that minimizes the amount of data required to build AI models. This directly challenges the assumption that big data is intrinsic to AI, and enables for local, ownable and customizable models to be made.
The company's unified execution layer helps to streamline the training and deployment of models in a way which is both scalable and flexible. Enterprises can use their existing infrastructure to run powerful models while ensuring their data never leaves their devices. Plus, they can tailor each model to their needs with no coding needed.
WebAI believes that off-the-shelf AI models lack the flexibility and control required to be used in real-world tasks, which is what its platform helps to combat. This approach has attracted impressive investment that will be used to grow its development efforts and elevate its mission to democratize AI.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2024
$60m
SERIES A
Dec 2022
$17m
SEED
Total funding: $77m
Company benefits
- Grow with us: Equity options so you share in our growth. Build your future as we build ours.
- Family first: Parental leave and fertility support for every stage of life. Your family matters here.
- Plan your future: A 401(k) to help you save and invest. Secure what's ahead with confidence.
- Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work.
- Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops.
- Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are.
Company HQ
Congress Avenue Historic District, Austin, TX
Leadership
David Stout
(Co-Founder & CEO)Alongside WebAI, David is the Founder of Ghost House Technology.
Ethan Baird
(Co-Founder & Chief Research Officer)Previously, Ethan was a Software Programmer at Ghost House Technology and a Web Technician at Revision Marketing and Design.
Tyler Mauer
(Co-Founder & Chief Innovation Officer)Tyler is also a Director of Product & Market at Ghost House Technology, Previously he held Consultant roles at YETi CGI, RANDY'S House, and Shinola.
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