About the job
As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field.
Responsibilities
- Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.
- Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typsecript, Python.
- Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria.
- Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.
- Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.
- Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.
- Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.
- Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution.
- Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution.
Qualifications
Minimum
- 5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications.
- 5+ years of experience working with GitHub actions
- Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright.
- Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs.
Preferred
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus.
- Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed.
- A collaborative spirit that helps you Connect cross-functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end-to-end quality of our products.
- Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment.