At a Glance
- Tasks: Ensure top-notch quality for cutting-edge AI applications and develop robust testing strategies.
- Company: Join WRITER, a leader in AI-powered work orchestration with a collaborative culture.
- Benefits: Generous PTO, comprehensive health insurance, paid parental leave, and competitive pension scheme.
- Other info: Hybrid role with excellent career growth opportunities and a chance to shape the future of AI.
- Why this job: Make a real impact on AI quality assurance in a fast-paced, evolving environment.
- Qualifications: 5+ years in software quality assurance, proficiency in Python or Typescript, and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
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 will 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.
- Proficiency in at least one language like Typescript, 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 and manage 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:
Software quality engineer (UK) employer: jobr.pro
WRITER is an exceptional employer that prioritises innovation and quality in the rapidly evolving field of AI. With a hybrid work model based in vibrant hubs like London, employees benefit from a collaborative culture that fosters professional growth and offers generous perks such as comprehensive medical insurance, paid parental leave, and annual work-life stipends. Join us to make a tangible impact on cutting-edge generative AI applications while enjoying a supportive environment that champions continuous improvement and employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Software quality engineer (UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and quality assurance. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and AI concepts. Practice explaining your thought process when tackling complex problems, as this will demonstrate your analytical skills and collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Software quality engineer (UK)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Quality Engineer. Highlight your experience with AI/ML applications and any relevant programming skills, like Python or Typescript. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for quality assurance in AI applications and explain why you’re excited about this role at WRITER. Let us know how you can contribute to our mission of delivering top-notch AI solutions.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it’s automation frameworks or testing complex systems, we love seeing real examples of your work. This helps us understand your hands-on experience better.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at jobr.pro
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML concepts and the specific technologies mentioned in the job description, like Python or Typescript. Being able to discuss your experience with automation frameworks and testing complex systems will show that you're not just a good fit, but the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified and resolved software defects or improved testing processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see how you tackle challenges head-on.
✨Collaborate Like a Pro
Since this role involves working closely with product managers and engineers, be ready to talk about your collaborative experiences. Highlight instances where you’ve successfully worked in cross-functional teams to achieve common quality goals, as this will demonstrate your ability to fit into their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to quality assurance and how they handle the unique challenges of generative AI. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.
