Quality Assurance Engineer

ABOUT US
tRetail Labs is a Melbourne-based AI company working at the intersection of behavioural science, emotional intelligence and AI. Our flagship platform, nrtureAI®, is a Visitor Experience Intelligence platform for hospitality, tourism and airport F&B.
Learn more at www.nrture.ai
ABOUT THE ROLE
You'll own the complete QA cycle for nrtureAI®, an enterprise SaaS platform built on data-driven and AI-powered features. You'll work closely with our product, engineering, data and AI teams to make sure every release is reliable, performs well and does what users need. Developers own unit and integration tests. You own everything that proves the product actually works for users.
WHAT YOU'LL FOCUS ON
Functional and feature testing across both API and UI
Smoke, sanity and regression testing
Performance testing
Agentic AI system evaluations
WHAT YOU'LL DO
Review user stories for testability and work with product, engineering and data teams to clarify requirements and acceptance criteria
Design, write and maintain detailed test plans and test cases based on acceptance criteria, product requirements and user stories
Execute manual tests and validate new releases, including complex, data-intensive features
Perform API testing using tools such as Postman, REST Assured or pytest to validate backend services and microservices
Perform feature testing across API and UI, validating against acceptance criteria
Own the complete QA cycle, applying smoke, sanity, regression and performance testing strategies
Reproduce, document and track defects in Jira, and work with developers to ensure timely resolution
Introduce testing practices for agentic AI system evaluations
Maintain clear QA documentation and reports
Monitor quality metrics (test coverage, defect leakage, pass/fail rates) and drive continuous improvement of QA processes, tools and standards
WHAT YOU'LL BRING
3+ years of active, hands-on experience in software testing across web applications and APIs, and currently working in a QA role
Strong foundation in QA and software testing, with a track record of keeping products stable and reliable
Hands-on manual testing and test execution skills, including validating complex, data-intensive features
Strong test planning and test case design skills
Hands-on API testing experience with Postman, REST Assured or pytest
Experience with smoke, sanity and regression testing
Exposure to performance testing tools (JMeter, k6 or similar)
Working knowledge of Jira, defect lifecycle management and QA documentation best practices
Experience in SaaS or web application environments, ideally data or analytics products
Basic SQL for validating data
Understanding of test automation concepts and a willingness to work with engineering on automated coverage
Genuine interest in AI and LLMs, and the drive to learn how agentic systems are evaluated
Strong analytical and problem-solving skills, with a structured approach and sharp attention to detail
Clear written and verbal communication, and the ability to work independently in a remote, cross-functional team
Bachelor's degree in Computer Science, Engineering, Information Technology or a related field, or equivalent practical experience
BONUS POINTS
You've tested an AI or LLM-powered product
Experience in travel, hospitality, retail or data intelligence
Test automation experience (Playwright, Cypress or Selenium)
Familiarity with eval tools such as Promptfoo, DeepEval or LangSmith
Experience with microservices and CI/CD pipelines
You've worked in a startup and like moving fast
WHY JOIN
Own QA end to end on a product already live with global brands
Get in early on agentic AI evaluation, one of the fastest-growing skills in tech
Work at the intersection of AI, behavioural science and the visitor economy
Direct access to leadership and a clear path to grow

Work arrangement
Yes