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WRITER is an enterprise generative AI platform valued at $1.9B that enables leading companies like Mars, Marriott, Uber, and Vanguard to build and deploy AI agents grounded in their company data. The company is backed by Premji Invest, Radical Ventures, and ICONIQ Growth, with offices across San Francisco, New York City, Seattle, Austin, Chicago, and London.
As a Software Quality Engineer, you will play a critical role in ensuring the reliability, performance, and trustworthiness of WRITER's AI-powered work orchestration platform. This hybrid role based in London (with flexibility across WRITER's hubs) reports directly to the Director of Engineering.
Key responsibilities include:
- Define and implement comprehensive quality assurance strategies and test plans for AI agents and LLM-powered applications
- Design and develop robust, scalable automation frameworks using TypeScript or Python
- Collaborate with product managers, machine learning engineers, and data scientists to translate complex AI features into effective test cases
- Drive continuous improvement of testing processes and infrastructure, integrating automated checks within CI/CD pipelines
- Identify, document, and track software defects through root cause analysis
- Monitor production systems and AI model performance to proactively identify issues
- Champion quality best practices across engineering teams
- Design, manage, and maintain test data strategies and mock services
- Manage the full defect lifecycle by analyzing customer feedback and debugging logs
This role offers a unique opportunity to work at the intersection of quality assurance and cutting-edge generative AI, directly impacting how hundreds of global enterprises unlock transformational value through AI.
REQUIREMENTS:
- 5+ years of hands-on experience in software quality assurance or engineering, with strong focus on testing complex distributed systems or AI/ML applications
- 5+ years of experience working with GitHub Actions
- Proficiency in 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 challenges of testing generative AI outputs
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment (preferred)
- Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP)
- Exceptional analytical skills with keen attention to detail
- Demonstrated ability to drive initiatives independently and thrive in a fast-paced startup environment
About Writer
AI / Data / Infrastructure; SaaS / Enterprise Software — enterprise generative AI platform for business teams.
