At a Glance
- Tasks: Support test development and maintain automated test suites for AI projects.
- Company: Fast-growing tech firm in the UK with a focus on innovation.
- Benefits: Salary of £50,000, remote work option, and great employee perks.
- Other info: Exciting opportunities for career growth in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 3+ years in QA or test automation with strong debugging skills.
The predicted salary is between 50000 - 50000 £ per year.
A fast-growing technology firm in the UK seeks an AI QA Engineer to support test development and maintain automated test suites. The ideal candidate will have over 3 years of experience in QA or test automation, strong debugging skills, and comfort with writing automated tests. This role offers a salary of £50,000 gross per annum, alongside numerous employee benefits, including a remote work option.
AI QA Engineer (L2) — Automation & AI Validation employer: Bunch
Bunch is an exceptional employer for those looking to make a significant impact in the fintech sector. With a hybrid work setup and a culture that promotes ownership, employees are empowered to take charge of their roles while enjoying competitive compensation and ample opportunities for professional growth. Joining Bunch means being part of a dynamic team that values innovation and collaboration in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI QA Engineer (L2) — Automation & AI Validation
✨Tip Number 1
Network like a pro! Reach out to folks in the tech industry, especially those already working in QA or automation. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your test automation projects. This could be anything from GitHub repos to personal blogs explaining your debugging process. It’s a great way to stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and automation tools. We recommend practising coding challenges related to test automation. The more prepared you are, the more confident you'll feel during the interview!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s super easy to keep track of your applications and get updates directly from us.
We think you need these skills to ace AI QA Engineer (L2) — Automation & AI Validation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in QA and test automation. We want to see how your skills match the role, so don’t be shy about showcasing your debugging prowess and any automated tests you've written.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI QA Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Relevant Projects:If you’ve worked on any projects that involved automation or AI validation, make sure to mention them. We’re keen to see real-world examples of your work, so don’t hold back!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Bunch
✨Know Your Automation Tools
Make sure you’re well-versed in the automation tools and frameworks relevant to the role. Brush up on your experience with test automation and be ready to discuss specific projects where you’ve implemented these tools.
✨Showcase Your Debugging Skills
Prepare to demonstrate your debugging skills during the interview. Think of examples where you identified and resolved issues in automated tests, and be ready to explain your thought process clearly.
✨Familiarise Yourself with AI Validation
Since this role involves AI validation, it’s crucial to understand how AI systems work and the common pitfalls in testing them. Research current trends in AI QA and be prepared to discuss how you would approach testing AI models.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s testing processes, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
