AI-first QA Engineer

AI-first QA Engineer

Full-Time 51750 - 63250 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Redefine quality assurance in an AI-driven tech environment and enhance product reliability.
  • Company: Join a forward-thinking company focused on AI-powered products and modern engineering practices.
  • Benefits: Remote-friendly work, global collaboration, and professional growth opportunities.
  • Other info: Inclusive culture that values diverse perspectives and encourages continuous learning.
  • Why this job: Make a real impact in QA automation and contribute to innovative AI solutions.
  • Qualifications: 3+ years in QA automation, strong programming skills, and experience with AI tools.

The predicted salary is between 51750 - 63250 £ per year.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-first QA Engineer based in United Kingdom.

This role offers the opportunity to redefine quality assurance practices in an AI-driven technology environment.

You will help build reliable, scalable products by combining advanced testing methodologies with AI-powered workflows.

The position focuses on automation, quality strategy, and continuous improvement throughout the software development lifecycle.

You will collaborate with engineering teams to embed quality from the earliest stages of development and delivery.

By leveraging modern tools and innovative approaches, you will improve testing efficiency, product reliability, and team productivity.

This is an ideal opportunity for a QA professional passionate about automation, AI adoption, and building high-quality software at scale.

Accountabilities

  • Develop and maintain automated testing solutions that improve product quality and increase confidence throughout the development lifecycle.
  • Define and execute automation strategies based on product risks, scalability needs, and long-term quality objectives.
  • Analyze existing QA processes, identify improvement opportunities, and implement initiatives that enhance testing effectiveness.
  • Design comprehensive test coverage using advanced test analysis techniques across different testing layers, including unit, integration, and end-to-end testing.
  • Build, maintain, and improve automation frameworks and QA tools to ensure they remain reliable, scalable, and easy to use.
  • Use AI-powered tools daily to accelerate problem-solving, improve test design, enhance reporting, and increase engineering productivity.
  • Collaborate closely with engineers, product teams, and cross-functional stakeholders to integrate quality practices early in the development process.
  • Participate in code reviews, sprint planning, refinement sessions, and QA sign-off processes.
  • Take ownership of quality responsibilities within assigned product areas and drive continuous improvements.
  • Mentor team members, share QA expertise, and promote best practices across engineering teams.

Requirements

  • 3+ years of experience in QA automation with proven experience designing, implementing, and maintaining automated testing solutions.
  • Strong understanding of software testing methodologies, test planning, prioritization, documentation, and test design principles.
  • Hands-on experience with Playwright and familiarity with Selenium or similar automation frameworks.
  • Strong programming skills in Type Script or another object-oriented programming language, with Python experience considered a plus.
  • Experience building and maintaining automation frameworks and improving QA processes within software development teams.
  • Ability to use AI tools effectively to improve productivity across test creation, automation, analysis, and reporting workflows.
  • Experience with REST API testing tools such as Postman, REST-assured, or Playwright API testing.
  • Understanding of different testing layers, including unit, integration, and end-to-end testing approaches.
  • Familiarity with QA tools such as Allure and Test Rail.
  • Experience using Git and understanding of branching strategies and merge request workflows; knowledge of Git Lab CI/CD is a plus.
  • Awareness of load and performance testing tools such as Locust or K6 is beneficial.
  • Strong problem-solving skills with the ability to prioritize tasks and take ownership from planning through completion.
  • Effective communication skills and ability to collaborate with cross-functional teams.
  • Advanced English proficiency, both written and spoken.

Benefits

  • Remote-friendly work environment with flexibility to work from different locations.
  • Opportunity to join a globally distributed team collaborating across multiple countries and cultures.
  • Chance to contribute to the evolution of AI-powered products and modern quality engineering practices.
  • High-impact role with ownership over QA strategy, automation improvements, and engineering processes.
  • Opportunity to work in an innovative AI-focused organization where employees actively use AI tools to improve workflows.
  • Collaborative culture focused on ownership, continuous learning, and meaningful impact.
  • Professional growth opportunities through exposure to modern technologies, tools, and methodologies.
  • Inclusive workplace environment that values diverse perspectives and encourages employees to contribute their ideas.
  • Opportunity to help transform a fast-growing technology platform operating in a global market.
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AI-first QA Engineer employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-first QA Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at United States Digital Space LLC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to United States Digital Space LLC.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like United States Digital Space LLC.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like United States Digital Space LLC that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI-first QA Engineer

QA Automation
Automated Testing Solutions
Software Testing Methodologies
Test Planning
Test Design Principles
Playwright
Selenium

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at United States Digital Space LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.