At a Glance
- Tasks: Ensure top-notch quality for cutting-edge AI applications and drive testing strategies.
- Company: Join a dynamic startup focused on AI-powered solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
- Why this job: Make a real impact in the evolving field of AI quality assurance.
- Qualifications: 5+ years in software quality assurance with strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Are you passionate about ensuring the highest quality for cutting-edge generative AI applications?
- 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.
- 5+ years of experience working with GitHub actions.
- 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.
What the job involves:
- 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.
- You will report directly to the director of engineering.
- 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 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.
- Designing, managing, and maintaining 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.
Software Quality Engineer employer: Writer
At WRITER, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, particularly for our Software Quality Engineers. Located in a dynamic startup environment, we offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge AI technologies that are transforming industries. Join us to make a meaningful impact while enjoying a supportive atmosphere that encourages continuous improvement and ownership of quality in our products.
StudySmarter Expert Advice🤫
We think this is how you could land Software Quality Engineer
✨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
Show off your skills! Create a portfolio showcasing your testing frameworks, automation scripts, or any AI/ML projects you've worked on. This gives hiring managers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common quality assurance scenarios and challenges specific to AI applications. Practice articulating how you’ve tackled complex problems in the past—this will help you stand out!
✨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
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for quality assurance in AI applications! Share specific examples of how you've ensured top-notch quality in your previous roles, especially with complex systems or AI/ML projects.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with GitHub actions, Python or Typescript, and any modern testing frameworks. We want to see how your skills align with our needs!
Highlight Collaboration Skills:Since we value teamwork, mention instances where you’ve worked closely with cross-functional teams. Show us how you’ve contributed to common quality goals and driven initiatives independently.
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 get you into our system quickly. We can’t wait to hear from you!
How to prepare for a job interview at Writer
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of programming languages like Python and Typescript, as well as modern testing frameworks such as Playwright. Be ready to discuss how you've used these tools in past projects, especially in relation to AI/ML applications.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've tackled in software quality assurance. Highlight your analytical skills and how you've dissected issues to ensure no bug goes unnoticed. This will demonstrate your ability to thrive in a fast-paced environment.
✨Collaborate Like a Pro
Since the role involves working closely with cross-functional teams, think of instances where you've successfully collaborated with product managers, engineers, or data scientists. Emphasise your ability to connect teams to common quality goals and challenge assumptions for better outcomes.
✨Understand the AI Landscape
Familiarise yourself with AI/ML concepts, particularly model evaluation metrics and the unique challenges of testing generative AI outputs. Being able to discuss these topics will show your passion for ensuring high-quality AI applications and your readiness to tackle the role's responsibilities.
