At a Glance
- Tasks: Build automated tests for AI-driven workflows and ensure GenAI features are reliable.
- Company: Join a forward-thinking tech company focused on innovation and customer success.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact on the quality of cutting-edge AI technologies.
- Qualifications: Experience in QA or test engineering with Python coding skills.
The predicted salary is between 51750 - 63250 £ per year.
Overview
In this role you will help ensure Gen AI features are reliable and trustworthy by building automated test coverage for AI-driven workflows.
You will shape evaluation strategies, metrics, and datasets for LLM-powered applications, collaborating with cross-functional teams to improve model behavior and product quality.
The position emphasizes end-to-end testing, including API, UI, and performance aspects, within a culture focused on customer success and continuous innovation.
This is a hands-on, impact-driven opportunity to influence how Gen AI quality is measured and maintained.
Responsibilities
- Develop and run end-to-end automated test coverage across evaluations, APIs, UIs, and performance tests using Python
- Design testing strategies for Gen AI features, including conversational AI and LLM-powered workflows
- Maintain automated test suites for prompt testing and regression to monitor model behavior
- Support evaluation frameworks measuring Gen AI performance across accuracy, relevance, safety, consistency, and latency
- Curate high-quality test datasets and golden examples representing diverse scenarios
- Assist in adversarial testing to identify hallucinations or biases and support production alerting integration
- Utilise internal tools and testing frameworks to validate Gen AI code and assist with user acceptance testing
- Document testing procedures and known issues for the workstream
- Key requirements
- Solid QA or test engineering experience with exposure to AI/ML systems
- Hands-on Python coding experience
- Knowledge of Gen AI technologies including LLMs, prompt engineering, and AI patterns
- Experience with test automation frameworks and scripting (Python, Pytest, API, UI Testing)
- Understanding of functional, integration, regression, performance, and security testing
- Ability to execute tests for non-deterministic systems
- Experience with API testing tools (Postman, REST Assured) and backend testing
- Familiarity with CI/CD pipelines and automated testing integration
- Python
- Pytest
- API testing
- UI testing
- Postman
- REST Assured
QA Automation Engineer - AI in London employer: Anaplan
Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. Located in London, we offer a dynamic work environment that champions diversity and provides ample opportunities for professional growth, ensuring that every employee feels valued and inspired to contribute to our mission of transforming business decision-making. With a commitment to inclusivity and a focus on celebrating achievements, Anaplan is the perfect place for those looking to make a meaningful impact while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land QA Automation Engineer - AI in London
✨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 Anaplan 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 Anaplan.
✨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 Anaplan.
✨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 Anaplan 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 Automation Engineer - AI in London
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 Anaplan.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anaplan 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 Anaplan
✨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 Anaplan 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.
