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- Tasks: Deploy AI solutions and tackle real-world challenges in software testing.
- Company: Dynamic tech firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Why this job: Join a venture-backed team and redefine the future of software testing.
- Qualifications: Experience in AI workflows and strong engineering judgement required.
- Other info: Ideal for those with startup experience and a passion for complex systems.
The predicted salary is between 36000 - 60000 £ per year.
A technology firm in London is seeking a Forward Deployed Engineer to deploy AI solutions into customer environments and translate real-world problems into functional capabilities. This role requires strong engineering judgement, the ability to work without a safety net, and experience with AI-driven workflows. Join a venture-backed team to help redefine software testing. Ideal candidates will have experience in early-stage startups and building complex systems.
Autonomous Testing Engineer: Deploy AI QA in Production in London employer: Duku AI
Contact Detail:
Duku AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Autonomous Testing Engineer: Deploy AI QA in Production in London
✨Tip Number 1
Network like a pro! Reach out to people in the tech industry, especially those who work with AI solutions. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and software testing. This gives potential employers a taste of what you can do in real-world scenarios.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to autonomous testing. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us redefine software testing. Your next big opportunity could be just a click away!
We think you need these skills to ace Autonomous Testing Engineer: Deploy AI QA in Production in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform software testing. Share any relevant projects or experiences that highlight your skills in deploying AI solutions.
Be Specific About Your Experience: We want to know about your hands-on experience with AI-driven workflows. Don’t just list your previous roles; explain how you tackled real-world problems and what impact your contributions had on the projects.
Tailor Your Application: Make sure your application speaks directly to the role of Autonomous Testing Engineer. Use keywords from the job description and align your skills with what we’re looking for. This shows us you’ve done your homework!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Duku AI
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI-driven workflows. Be ready to discuss how you've deployed AI solutions in the past and the challenges you faced. This will show that you can translate real-world problems into functional capabilities.
✨Showcase Your Engineering Judgement
Prepare examples that highlight your engineering judgement. Think about situations where you had to make tough decisions without a safety net. This will demonstrate your ability to thrive in high-pressure environments, which is crucial for this role.
✨Familiarise Yourself with Startups
Since the company values experience in early-stage startups, be ready to share your experiences in such environments. Discuss how you contributed to building complex systems and what you learned from those experiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to deploying AI solutions. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!
