Autonomous QA Systems Engineer
Autonomous QA Systems Engineer

Autonomous QA Systems Engineer

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Build autonomous testing agents to elevate software quality and deploy code daily.
  • Company: Cutting-edge AI company in Greater London with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Join us to shape the future of autonomous testing and make a real impact.
  • Qualifications: Experience in AI/LLMs and product shipping in startup environments.
  • Other info: Dynamic team environment with exciting challenges and career advancement.

The predicted salary is between 36000 - 60000 Β£ per year.

A cutting-edge AI company in Greater London is seeking an experienced builder to develop autonomous testing agents that enhance software quality. The ideal candidate will have a relentless drive, familiarity with AI/LLMs, and experience in shipping products in startup environments.

Responsibilities include:

  • Deploying code daily
  • Collaborating with users to define the roadmap
  • Managing the tech stack from commit to production

Join now to shape the future of autonomous testing.

Autonomous QA Systems Engineer employer: Duku AI

As a leading AI company in Greater London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology. With a strong focus on professional development, we offer numerous growth opportunities and encourage collaboration across teams to drive impactful results. Join us to be part of a forward-thinking environment where your contributions will directly shape the future of autonomous testing.
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Contact Detail:

Duku AI Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Autonomous QA Systems Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your previous projects, especially those involving autonomous testing or AI. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to QA and AI, and be ready to discuss how you've shipped products in fast-paced environments.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.

We think you need these skills to ace Autonomous QA Systems Engineer

Autonomous Testing
AI/LLMs Familiarity
Software Quality Enhancement
Product Shipping Experience
Startup Environment Experience
Code Deployment
Collaboration Skills
Roadmap Definition
Tech Stack Management

Some tips for your application 🫑

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and autonomous systems shine through. We want to see that relentless drive you have for building innovative solutions that enhance software quality.

Highlight Relevant Experience: Make sure to showcase your experience in shipping products, especially in startup environments. We’re looking for someone who can hit the ground running, so share specific examples of your past work that align with our needs.

Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how they relate to the role of Autonomous QA Systems Engineer.

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 this exciting opportunity to shape the future of autonomous testing.

How to prepare for a job interview at Duku AI

✨Know Your Tech Stack

Make sure you’re familiar with the tech stack mentioned in the job description. Brush up on the tools and technologies you’ve used in previous roles, especially those related to autonomous testing and AI. Being able to discuss your hands-on experience will show that you’re ready to hit the ground running.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in past projects, particularly in startup environments. Think about how you approached these problems and what solutions you implemented. This will demonstrate your relentless drive and ability to adapt, which are key for this role.

✨Collaborate Like a Pro

Since collaboration is crucial, be ready to share examples of how you’ve worked with users or cross-functional teams to define project roadmaps. Highlight your communication skills and how you ensure everyone is on the same page, as this will resonate well with the interviewers.

✨Stay Updated on AI Trends

Given the focus on AI and LLMs, it’s important to stay current with the latest trends and advancements in the field. Bring up any recent developments or tools you find interesting during the interview. This shows your passion for the industry and your commitment to continuous learning.

Autonomous QA Systems Engineer
Duku AI

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