At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to impact cutting-edge technology.
- Other info: Dynamic projects with opportunities for personal and professional growth.
- Why this job: Join a team that’s redefining AI with your skills and creativity.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € per year.
About the Project
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.
Nice to have
- 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 MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
LLM Agent Engineer (Freelance, Remote) (Cardiff) employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field, particularly as an LLM Agent Engineer. With a focus on innovation and collaboration, we offer a dynamic remote work culture that fosters creativity and professional growth, allowing you to work alongside leading AI organisations while shaping the future of autonomous agents. Our commitment to employee development and the flexibility of freelance opportunities make Outlier a rewarding place to advance your career in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Cardiff)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who are already working with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. If you’ve built anything that integrates with APIs or handles complex workflows, make sure it’s front and centre. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems. Practise explaining your thought process clearly; we want to see how you approach challenges!
✨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 at Outlier. Let’s shape the future of AI together!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Cardiff)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the LLM Agent Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you built production-grade software or worked with multi-turn system interactions. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. This will help us quickly grasp your qualifications.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
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 about your experience with databases and how you’ve used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you had to design workflows or optimise processes, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be prepared to talk about how you ensure quality in your work. Bring examples of how you’ve provided technical feedback on system behaviours and how that has improved project outcomes.
✨Familiarise Yourself with Real-World Applications
Understand how LLMs function in real-world scenarios. Research tools like Supabase and APIs that are relevant to the role. Being able to discuss how you would integrate these tools into your work will show your practical knowledge and readiness for the job.
