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For Companies At a Glance
- Tasks: Ensure quality and performance of AI services through testing and validation.
- Company: Join Avensys Consulting, a leader in IT services and consulting.
- Benefits: Competitive contract pay, flexible work environment, and opportunities for growth.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software testing and a passion for ethical AI practices.
- Other info: Collaborative Agile team with a focus on continuous learning and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Senior Recruitment Specialist at Avensys Consulting specializing in talent acquisition.
Responsibilities
- We are looking for a detail-oriented and forward-thinking Test Engineer to ensure the quality, performance, and security of our Core AI Services. You will help validate distributed, cloud-native services and public APIs that form the foundation for enterprise AI capabilities.
- You’ll be part of a Scrum team and work closely with developers and architects to design effective validation strategies, automated testing frameworks, and AI-specific evaluation tools, with a builder mindset, rapid prototyping and continuous improvement, and agility of a start-up.
Core Skills and Qualifications
- Familiarity with LLM evaluation techniques, output scoring, and validation frameworks.
- Understanding of prompt engineering, RAG, model orchestration, and hallucination detection.
- Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations.
- Defining performance metrics for AI services and testing for the same.
- Awareness of AI safety, bias detection, and explainability techniques.
- Experience ensuring compliance with AI regulations and standards (e.g., NIST AI RMF, EU AI Act).
- Strong belief in ethical AI practices, transparency, and end-user trust.
- 12+ years of experience in software testing, QA, or validation roles for cloud-native applications using Microsoft and .NET technologies.
- Proficient in designing automated testing frameworks.
- Hands-on experience with Azure DevOps, CI/CD pipelines, and containerized architectures.
- Strong understanding of API testing, performance profiling, and security testing (including OWASP Top 10).
- Excellent problem-solving skills with the ability to analyze complex technical challenges and propose scalable solutions.
- Experience working in Agile teams and collaborating across global R&D locations.
- Demonstrated ability to mentor junior team members and foster a culture of continuous learning and innovation.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- IT Services and IT Consulting
Referrals increase your chances of interviewing at Avensys Consulting UK.
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Artificial Intelligence Test Engineer employer: Avensys Consulting UK
Contact Detail:
Avensys Consulting UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Test Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your testing frameworks and AI projects. 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 AI testing scenarios and challenges. Practice explaining your thought process and how you tackle complex problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Test Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of an Artificial Intelligence Test Engineer. Highlight your experience with AI testing, cloud-native applications, and any relevant frameworks or tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention your understanding of ethical AI practices and compliance with regulations – it’s super important to us.
Showcase Your Problem-Solving Skills: In your application, be sure to include examples of how you've tackled complex technical challenges in the past. We love candidates who can think critically and propose scalable solutions, so share those experiences that demonstrate your problem-solving prowess!
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 shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Avensys Consulting UK
✨Know Your AI Stuff
Make sure you brush up on LLM evaluation techniques and prompt engineering. Be ready to discuss how you've applied these in your previous roles, especially when it comes to testing AI model predictions and ensuring compliance with regulations.
✨Showcase Your Automation Skills
Since the role involves designing automated testing frameworks, come prepared with examples of frameworks you've built or improved. Highlight your experience with Azure DevOps and CI/CD pipelines to demonstrate your hands-on expertise.
✨Emphasise Collaboration
This position is part of a Scrum team, so be ready to talk about your experience working in Agile environments. Share specific instances where you collaborated with developers and architects to enhance testing strategies or improve product quality.
✨Be Ethical and Transparent
Given the focus on ethical AI practices, prepare to discuss your views on AI safety, bias detection, and explainability. Show that you understand the importance of building trust with end-users and how you’ve implemented these principles in your work.
