Why This Job is Featured on The SaaS Jobs
This Software Quality Engineer role stands out in SaaS because it sits at the intersection of enterprise software delivery and generative AI reliability. WRITER is positioned as a platform company selling into large organisations, which typically means complex integrations, high expectations around uptime, and rigorous release discipline. Quality work in this context is less about UI polish and more about making AI-powered features dependable enough for real business workflows.
From a SaaS career perspective, the remit signals exposure to modern quality engineering practices: building automation frameworks, embedding checks into CI/CD, and partnering closely with product and ML stakeholders to translate model behaviour into testable criteria. Experience validating LLM-driven systems is increasingly transferable across SaaS categories as more products incorporate agents, evaluation pipelines, and production monitoring for AI outputs.
The role is likely best suited to an engineer who prefers structured problem-solving and measurable quality outcomes, and who enjoys influencing how teams define “done” in ambiguous domains like generative AI. It fits someone comfortable working cross-functionally and taking ownership of end-to-end validation, rather than operating as a downstream test function.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
🚀 About WRITER
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the role
Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? 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.
This is a hybrid role based out of our London hub. You will report directly to the director of engineering.
🦸🏻♀️ What you'll do
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, or Scala.
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.
⭐️ What you need
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.
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.
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.
🍩 Benefits & perks (UK full-time employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (12 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options
