At a Glance
- Tasks: Own the quality of AI products through innovative testing and evaluation.
- Company: Fast-growing AI company at the forefront of technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting challenges and career advancement.
- Why this job: Make a real impact on AI systems and enhance product quality.
- Qualifications: Strong software engineering background with experience in AI/ML systems.
The predicted salary is between 63000 - 77000 £ per year.
We’re working with a fast-growing AI company looking for a QA Engineer to own how the quality of its AI products is measured, tested and improved. This isn’t traditional QA — you’ll work at the intersection of AI evaluation, software engineering and product quality, building the frameworks, datasets and automated tests that determine whether LLM-powered features are genuinely accurate, reliable and ready for production. You’ll work closely with engineering and product teams to identify where AI systems fail, understand why, and turn those findings into measurable improvements.
Must Haves
- Strong software engineering or technical background, ideally with hands-on experience working with AI/ML systems
- Experience building testing, evaluation or quality frameworks for AI-powered products
- Strong Python or similar programming experience, with the ability to build evaluation tooling and automation
- Good understanding of LLMs and Generative AI, including how model outputs should be tested and evaluated
- Experience creating evaluation datasets, test cases and regression suites for complex AI features
- Ability to analyse model outputs, identify failure patterns and root causes, and turn findings into measurable improvements
- Strong understanding of accuracy, reliability and consistency when evaluating AI systems
- Excellent analytical and problem-solving skills, particularly when dealing with ambiguous or difficult-to-measure problems
- Comfortable working closely with Engineering and Product teams and communicating technical findings clearly
Nice to Haves
- Experience evaluating RAG / retrieval systems, including the quality and relevance of retrieved information
- Experience testing AI agents, tool-calling or multi-step AI workflows
- Knowledge of different LLM evaluation methodologies, metrics and benchmarking approaches
- Experience implementing automated AI regression testing within development or CI/CD workflows
- Experience with human-in-the-loop evaluation alongside automated testing
- Knowledge of prompt evaluation and comparing changes across different models or prompts
- Experience building internal AI evaluation tooling, dashboards or monitoring
- Previous experience working with AI products where accuracy and reliability are particularly important
QA Engineer employer: iFindTech Ltd
Join a dynamic and innovative AI company that prioritises quality and excellence in its products. As a QA Engineer, you'll be part of a collaborative work culture that values your insights and expertise, offering ample opportunities for professional growth and development in the rapidly evolving field of AI. With a focus on cutting-edge technology and a commitment to employee well-being, this role provides a unique chance to make a meaningful impact while working alongside passionate professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land 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 iFindTech Ltd 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 iFindTech Ltd.
✨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 iFindTech Ltd.
✨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 iFindTech Ltd 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 QA Engineer
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 iFindTech Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at iFindTech Ltd 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 iFindTech Ltd
✨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 iFindTech Ltd 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.
