Junior SQA Engineer - AI
AIO
Date: 2 weeks ago
City: Remote
Contract type: Full time
Remote
About The Role
We are looking for a dedicated Software QA Engineer to join our team. Your primary role will be to assist with the creation and execution of automated and manual test cases for our software applications. You will work closely with our development and product teams to ensure the quality of our software products.
What will be your responsibilities?
Our mission is to revolutionise the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their businesses. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all of their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class Silicon Valley-funded startup.
We are looking for a dedicated Software QA Engineer to join our team. Your primary role will be to assist with the creation and execution of automated and manual test cases for our software applications. You will work closely with our development and product teams to ensure the quality of our software products.
What will be your responsibilities?
- Validate AI/ML model outputs against ground-truth data, test cases and business requirements.
- Evaluate the correctness, relevance, fairness, and consistency of model predictions.
- Design test cases to handle exceptions, edge cases, and out-of-distribution data.
- Monitor latency, throughput, and memory usage of AI pipelines.
- Identify bottlenecks and collaborate with engineering teams to optimize performance.
- Conduct stress, load, and scalability testing for deployed AI systems.
- Develop manual and automated test suites for AI workflows, APIs, and endpoints.
- Test system resilience to invalid inputs, adversarial samples, and API failures.
- Ensure fallback mechanisms and graceful error handling are in place.
- Work closely with ML engineers, data scientists, and product managers to refine testing requirements.
- Document test cases, test results, and known limitations of models.
- Report quality metrics and purpose.
- Bachelor's in Computer Science, AI, Data Science, or related field.
- Strong proficiency in Python and experience with testing frameworks (PyTest, unit test).
- 6 months to 2 years of experience as an AI QA Engineer, ML/AI Tester.
- Experience with AI frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
- Strong debugging, analytical, and problem-solving skills.
- Solid knowledge of SQL and working experience with relational databases (MySQL, PostgreSQL, etc.).
- Familiar with evaluation matrices for AI modelling techniques.
Our mission is to revolutionise the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their businesses. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all of their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class Silicon Valley-funded startup.
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