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- Tasks: Design and implement testing frameworks for cutting-edge AI tools and ensure their reliability.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Competitive daily rate, flexible working arrangements, and a chance to shape the future of AI.
- Other info: Exciting 6-month contract with opportunities for growth in a dynamic environment.
- Why this job: Make a real impact on AI quality and safety while working with top professionals.
- Qualifications: Experience in quality engineering and a passion for AI technologies.
This programme delivers a production-grade enterprise agentic AI platform, with MCP acting as the extensibility layer.
Responsibilities:
- Design and implement evaluation frameworks for MCP tools and Skills, covering correctness, safety, reliability, and regression performance.
- Build automated testing pipelines for agentic behaviours, including multi-step workflows and tool-calling interactions.
- Identify and mitigate AI failure modes such as hallucination, incorrect tool usage, invalid inputs, and latency amplification.
- Produce and maintain formal testing evidence required for internal release approvals (build and operate gates).
- Collaborate with ML Engineers to integrate test hooks and observability directly into MCP servers and Skills.
- Contribute to defining long-term quality assurance standards, testing practices, and governance models for a federated MCP ecosystem.
Quality Engineer employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quality Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the tech industry, especially those working with AI and quality engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to automated testing and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common quality engineering scenarios. Think about how you'd tackle issues like AI failure modes or building testing pipelines. We want you to be ready to impress with your problem-solving skills!
✨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 proactive about their job search!
We think you need these skills to ace Quality Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quality Engineer role. Highlight relevant experience and skills that match the job description, especially around AI platforms and testing frameworks. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quality engineering and how your background aligns with our needs. Be sure to mention any specific projects or experiences that relate to the responsibilities listed.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention any tools or technologies you've used for automated testing and evaluation frameworks. We love seeing candidates who are hands-on and familiar with the latest tech!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter family!
How to prepare for a job interview at Cititec
✨Know Your Stuff
Make sure you understand the technical aspects of the role. Brush up on evaluation frameworks, automated testing pipelines, and AI failure modes. Being able to discuss these topics confidently will show that you're not just familiar with the job description but genuinely interested in the work.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your skills in quality assurance and testing practices. Talk about how you've designed testing frameworks or collaborated with engineers in the past. Real-world examples can make a big impact!
✨Ask Smart Questions
Come prepared with questions that show your interest in the company's projects and goals. Inquire about their current challenges with AI testing or how they envision the future of their MCP ecosystem. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Be Ready to Problem-Solve
During the interview, you might be presented with hypothetical scenarios related to AI failure modes or testing challenges. Practice thinking on your feet and articulating your thought process clearly. Demonstrating your problem-solving skills can set you apart from other candidates.