At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- Why this job: Join us to train advanced generative systems and make a real impact in AI.
- Qualifications: 2+ years in backend engineering or AI automation, with strong coding skills.
The predicted salary is between 40000 - 50000 € 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.
Agent Builder - AI Systems (Remote) (Cardiff) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to shape the future of AI technology from the comfort of their homes in Cardiff. With a strong emphasis on professional growth, team members are encouraged to enhance their skills through hands-on experience with cutting-edge projects, while enjoying the flexibility of remote work and the opportunity to contribute to meaningful advancements in autonomous systems.
StudySmarter Expert Advice🤫
We think this is how you could land Agent Builder - AI Systems (Remote) (Cardiff)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or backend engineering. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and backend development. Practising with a friend or using mock interview platforms can help you feel more confident.
✨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, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Agent Builder - AI Systems (Remote) (Cardiff)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Agent Builder role. Highlight your experience in backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills with LLMs and complex systems.
Show Off Your Technical Skills:We want to see your command of programming languages like Python or JavaScript. Include specific examples of how you've built production-grade software and handled multi-turn system interactions. This is your chance to shine!
Be Detail-Oriented:Attention to detail is key! When describing your past experiences, focus on how you provided clear technical feedback and tackled complex system behaviours. We love candidates who can spot subtle issues and think critically about their work.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of SQL databases and modular software design. Practise explaining your thought process clearly and concisely, as this will demonstrate your attention to detail and technical feedback skills.
✨Demonstrate Your Passion for AI
Since the role involves shaping the future of autonomous agents, show your enthusiasm for AI technologies. Discuss any personal projects or experiences that highlight your interest in generative systems and how you envision their impact on real-world applications.
