At a Glance
- Tasks: Ensure top-notch quality for innovative AI applications and shape their reliability and performance.
- Company: Join a leading tech company revolutionising AI-powered solutions.
- Benefits: Generous PTO, medical insurance, parental leave, and wellness stipends.
- Other info: Dynamic hybrid role with excellent growth opportunities in a fast-paced environment.
- Why this job: Make a real impact in the exciting field of AI quality assurance.
- Qualifications: 5+ years in software quality assurance with strong testing skills.
The predicted salary is between 60000 - 80000 £ per year.
About the role
Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at the company, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering.
What you’ll do
- Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.
- Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typescript or Python.
- Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviours, translating them into effective test cases and validation criteria.
- Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.
- Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.
- Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.
- Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.
- Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution.
- Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP).
- Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution.
What you need
- 5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications.
- Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright.
- Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus.
- Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed.
- A collaborative spirit that helps connect cross-functional teams to common quality goals, challenge existing assumptions to build better systems, and own the end-to-end quality of our products.
- Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment.
Benefits & perks (UK full-time employees)
- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Competitive pension scheme and company contribution
- Annual work-life stipends for wellness, learning and development
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options
Software quality engineer (UK) employer: United States Digital Space LLC
As a software quality engineer at our innovative company, you'll be part of a dynamic team dedicated to ensuring the highest standards for cutting-edge AI applications. With a strong emphasis on employee growth, we offer generous benefits including comprehensive medical coverage, competitive compensation, and a supportive work culture that fosters collaboration and continuous improvement. Our London hub provides a vibrant environment where you can thrive professionally while making a meaningful impact in the rapidly evolving field of AI.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software quality engineer (UK)
✨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
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We think you need these skills to ace Software quality engineer (UK)
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.
