At a Glance
- Tasks: Ensure top-notch quality for innovative AI applications and shape their reliability and performance.
- Company: Join WRITER, a leading tech company revolutionising AI-powered work orchestration.
- Benefits: Enjoy generous PTO, comprehensive health insurance, and competitive compensation with stock options.
- Other info: Hybrid role with excellent career growth and collaborative culture.
- Why this job: Make a real impact in the exciting field of AI quality assurance.
- 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.
- 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.
- 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) employer: Neura Market
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 through generous learning stipends and comprehensive health benefits. Join us to make a tangible impact on cutting-edge technology while enjoying competitive compensation and a supportive work environment.
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
Prepare for those interviews by practising common questions and scenarios related to software quality assurance. Get comfy talking about your experience with AI/ML applications and how you've tackled complex testing challenges.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository that highlights your test automation frameworks and any projects you've worked on. This gives potential employers a tangible look at what you can bring to the table.
✨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, it shows you're genuinely interested in joining our team at WRITER.
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 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 designing automation frameworks or testing complex systems, we love to see real examples of your work that demonstrate your skills and experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Neura Market
✨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 how you would approach testing complex AI features and model behaviours, as this will show your passion and expertise in the field.
✨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, as this is crucial for the role and will demonstrate your hands-on experience.
✨Collaborate Like a Pro
Highlight your ability to work with cross-functional teams. Think of specific instances where you've collaborated with product managers or engineers to tackle quality challenges. This will illustrate your team spirit and commitment to achieving common quality goals.
✨Be Ready to Problem-Solve
Expect to face some hypothetical scenarios during the interview. Prepare to discuss how you would identify and resolve software defects or performance issues in AI systems. This will showcase your analytical skills and your proactive approach to quality assurance.
