At a Glance
- Tasks: Design and execute automated testing for cutting-edge AI platforms.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for growth.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Be at the forefront of AI safety and make a real difference.
- Qualifications: Experience in QA and a passion for AI technologies.
The predicted salary is between 80000 - 100000 € per year.
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release.
Key Responsibilities:
- Automated Adversarial Testing
- Building Continuous Safety Pipelines
- Ensuring Security, Resilience, and Compliance
Lead AI Red Teaming & QA Engineer in London employer: Randstad Digital
Join a forward-thinking company that prioritises innovation and employee development in the heart of the tech industry. As a Lead AI Red Teaming & QA Engineer, you will thrive in a collaborative work culture that encourages creativity and continuous learning, while enjoying competitive benefits and opportunities for professional growth. Our commitment to safety and excellence ensures that your contributions will have a meaningful impact on the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Red Teaming & QA Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automated testing projects or any adversarial testing you've done. This gives us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI safety and compliance. We want to see that you're not just knowledgeable but also passionate about keeping our systems secure.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team.
We think you need these skills to ace Lead AI Red Teaming & QA Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI, red teaming, and QA. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI safety and how you can contribute to our team. Let us know what excites you about the role!
Showcase Your Technical Skills:We’re looking for someone who can dive deep into automated testing and adversarial techniques. Be sure to mention any specific tools or methodologies you’ve used that relate to our work.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Randstad Digital
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI, especially around adversarial testing and LLMs. Brush up on your knowledge of security protocols and compliance standards relevant to AI platforms, as this will show your potential employer that you’re not just familiar with the basics but are ready to tackle complex challenges.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've successfully identified vulnerabilities or improved QA processes in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see how you approach problem-solving in real-world scenarios.
✨Demonstrate Continuous Learning
The field of AI is always evolving, so be ready to talk about how you keep your skills sharp. Mention any recent courses, certifications, or projects you’ve undertaken that relate to automated testing or AI safety. This shows that you’re proactive and committed to staying ahead in your field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects, their approach to safety pipelines, and how they measure success in their QA processes. This not only demonstrates your genuine interest in the role but also gives you a clearer picture of what working there would be like.
