At a Glance
- Tasks: Ensure top-notch quality for innovative AI applications and develop robust testing strategies.
- Company: Join WRITER, a leader in AI-powered work orchestration with a collaborative culture.
- Benefits: Enjoy generous PTO, comprehensive health insurance, and wellness stipends.
- Other info: Hybrid role with excellent career growth opportunities and company stock options.
- Why this job: Make a real impact on the future of AI while working in a dynamic environment.
- Qualifications: 5+ years in software quality assurance with skills in Python or Typescript.
The predicted salary is between 60000 - 80000 £ per year.
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, San Francisco, Seattle, and New York City hubs. 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.
- Design and develop 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 Typescript or Python.
- Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviours, 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.
- Design, manage, and maintain test data strategies and mock services to ensure stable, isolated, and repeatable test execution.
- Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP).
- 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.
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 (16 weeks)
- Fertility and family planning support
- Early‑detection cancer testing through Galleri
- Competitive pension scheme and company contribution
- Annual work‑life stipends for wellness and learning and development
- Company‑wide off‑sites and team off‑sites
- Competitive compensation and company stock options
Software quality engineer (UK) in London employer: AI Chopping Block, Inc.
At WRITER, we pride ourselves on being an exceptional employer that champions innovation and quality in the rapidly evolving field of AI. Our hybrid work culture fosters collaboration across global hubs, while our commitment to employee growth is reflected in generous benefits such as comprehensive medical coverage, paid parental leave, and dedicated learning stipends. Join us to make a meaningful impact on cutting-edge generative AI applications and enjoy a supportive environment that values your contributions and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Software quality engineer (UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially any projects related to AI or quality assurance. This will give employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to software quality engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Software quality engineer (UK) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Software Quality Engineer role. Highlight your experience with AI/ML applications and any relevant programming skills, like Python or Typescript, to show us you’re the perfect fit!
Showcase Your Experience:We want to see your hands-on experience in software quality assurance. Be specific about the projects you've worked on, especially those involving complex distributed systems or generative AI. This will help us understand how you can contribute to our team.
Highlight Collaboration Skills:Since this role involves working closely with product managers and engineers, share examples of how you've successfully collaborated in the past. We love a team player who can connect cross-functional teams to achieve common goals!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at AI Chopping Block, Inc.
✨Know Your AI Inside Out
Make sure you brush up on your understanding of AI/ML concepts, especially those related to generative AI. Be ready to discuss model evaluation metrics and how they apply to testing. This will show that you’re not just a tester but someone who understands the technology behind the products.
✨Showcase Your Automation Skills
Prepare to talk about your experience with automation frameworks, particularly in Python or Typescript. Bring examples of how you've designed or improved test automation processes in previous roles. This will demonstrate your hands-on experience and problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working closely with product managers and engineers, think of examples where you’ve successfully collaborated across teams. Highlight how you’ve translated complex features into effective test cases, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Be Ready for Real-World Scenarios
Expect to discuss specific challenges you've faced in quality assurance, especially in fast-paced environments. Prepare to share how you identified and resolved defects, and how you contributed to continuous improvement in testing processes. This will illustrate your proactive approach and commitment to quality.
