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- Tasks: Help build autonomous AI testing agents and design LLM-powered testers.
- Company: Innovative AI startup in Greater London with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for personal growth.
- Why this job: Revolutionise software quality and contribute to a future of faster, safer shipping.
- Qualifications: Experience in shipping AI features and thriving in startup environments.
- Other info: Join a dynamic team and make a real impact in the tech industry.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI startup in Greater London seeks a driven individual to help build autonomous AI testing agents. The role includes fast deployment, user engagement to shape the product, and designing LLM-powered testers that adapt in real time.
Ideal candidates have experience shipping AI features and thrive in high-ownership startup environments. This is an opportunity to revolutionise software quality through AI, contributing to a future where teams can ship faster and safer.
ML-Driven QA Engineer: Build Autonomous Testing AI employer: Duku AI
Contact Detail:
Duku AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML-Driven QA Engineer: Build Autonomous Testing AI
✨Tip Number 1
Network like a pro! Reach out to people in the AI and QA space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI features. This will give potential employers a taste of what you can bring to the table and how you can help shape their product.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of autonomous testing and LLMs. Be ready to discuss how you've shipped AI features in the past and how you can contribute to fast deployment and user engagement.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our innovative team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace ML-Driven QA Engineer: Build Autonomous Testing AI
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and autonomous testing shine through. We want to see how your experience aligns with our mission to revolutionise software quality!
Highlight Relevant Experience: Make sure to showcase any past projects or roles where you've shipped AI features. We’re looking for candidates who thrive in high-ownership environments, so don’t hold back on your achievements!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We appreciate when applicants take the time to connect their background to what we’re doing at StudySmarter.
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 this exciting opportunity to shape the future of AI testing!
How to prepare for a job interview at Duku AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how you've previously shipped AI features and how they can relate to building autonomous testing agents.
✨Show Your Startup Spirit
This role is all about high ownership in a startup environment. Prepare examples that showcase your ability to take initiative, adapt quickly, and thrive in fast-paced settings. They want to see your entrepreneurial mindset!
✨Engage with the Product Vision
Understand the company's mission to revolutionise software quality through AI. Think about how user engagement shapes product development and be ready to share your ideas on how to enhance user experience with LLM-powered testers.
✨Prepare for Real-Time Problem Solving
Since the role involves designing testers that adapt in real time, be prepared for technical questions or scenarios where you need to demonstrate your problem-solving skills. Practice articulating your thought process clearly and confidently.
