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: Enjoy generous PTO, comprehensive health insurance, and competitive pension schemes.
- Other info: Hybrid role with excellent career growth opportunities in a dynamic startup environment.
- Why this job: Make a real impact on AI quality assurance in a rapidly evolving field.
- Qualifications: 5+ years in software quality assurance with strong programming skills in Python or Typescript.
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) in London employer: jobr.pro
At WRITER, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a software quality engineer in our London hub, you'll enjoy generous benefits including comprehensive medical insurance, paid parental leave, and a competitive pension scheme, all while working in a dynamic environment that encourages professional growth and the pursuit of excellence in AI quality assurance. Join us to make a meaningful impact on cutting-edge technology and be part of a team that values your contributions and supports your career development.
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. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to software quality engineering. Get comfy with discussing your past projects and how you've tackled challenges in AI testing. Confidence is key!
✨Tip Number 3
Showcase your skills through a portfolio or GitHub repository. Highlight any automation frameworks you've built or contributed to, especially in Python or Typescript. This gives 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) 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:Don’t just list your past jobs; tell us about specific projects where you defined quality assurance strategies or developed automation frameworks. We want to see how you've tackled challenges in software quality assurance!
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for easy reading and make sure to clearly outline your achievements and skills. We appreciate clarity as much as we value creativity!
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 from our team!
How to prepare for a job interview at jobr.pro
✨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 for the role and your technical expertise.
✨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, as 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 your ability to communicate complex ideas clearly and how you’ve contributed to achieving common quality goals.
✨Be Ready to Tackle Real-World Scenarios
Expect to face questions that require you to analyse and solve real-world problems related to software defects or performance issues. Prepare some scenarios from your past experiences where you identified bugs, performed root cause analysis, and worked with development teams to resolve them.
