At a Glance
- Tasks: Help shape the future of AI by developing backend systems for innovative projects.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and work with top industry experts.
- Qualifications: 2+ years in backend engineering and strong coding skills in major programming languages.
The predicted salary is between 45000 - 55000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.
Ideal Qualifications- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
Backend Engineer (Remote) (Cardiff) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Backend Engineers to contribute to groundbreaking AI projects from the comfort of their homes in Cardiff. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to work alongside leading AI organisations, making a meaningful impact in the field of autonomous agents. Our commitment to flexibility and remote working ensures a healthy work-life balance, making Outlier a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer (Remote) (Cardiff)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry 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 projects, especially those related to backend engineering and AI automation. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Backend Engineer (Remote) (Cardiff)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any relevant projects you've worked on, especially those involving AI automation or complex systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with LLMs or any relevant technologies, and show us how you can contribute to our mission.
Showcase Your Technical Skills:When applying, be sure to mention your proficiency in at least two major programming languages and your experience with SQL databases. We love seeing practical examples of your work, so don’t hesitate to include links to your GitHub or any live projects.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your understanding of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system interactions.
✨Understand the Project
Familiarise yourself with Outlier's projects and their focus on AI agents. Being able to discuss how you can contribute to training advanced generative systems will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Think about asking how they handle multi-stage coordination tasks or what tools they use for integration.
