At a Glance
- 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 working, 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and software testing. 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-driven workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your engineering judgement and problem-solving skills. Practice coding challenges and be ready to discuss how you’d tackle real-world problems with AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Autonomous Testing Engineer: Deploy AI QA in Production
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and technology shine through. We want to see how you can translate your passion into real-world solutions, so share any relevant projects or experiences that highlight your skills.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the role of Autonomous Testing Engineer. Highlight your experience with AI-driven workflows and complex systems, as well as any startup experience. This helps us see how you fit into our team!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website: Don’t forget to apply 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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Duku AI
✨Know Your AI Inside Out
Make sure you’re well-versed in AI-driven workflows and can discuss how they apply to real-world problems. Brush up on recent advancements in AI testing and be ready to share your insights on how these can enhance software quality.
✨Showcase Your Engineering Judgement
Prepare examples from your past experiences where you had to make tough engineering decisions without a safety net. Highlight your thought process and the outcomes, as this will demonstrate your ability to handle the responsibilities of the role.
✨Familiarise Yourself with Startups
Since the company values experience in early-stage startups, be ready to discuss your previous roles in such environments. Talk about the challenges you faced and how you contributed to building complex systems, as this will resonate with their expectations.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s mission and the role. Inquire about their current projects or challenges they face in deploying AI solutions, which will demonstrate your proactive mindset and eagerness to contribute.