At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Join Outlier, a leader in innovative AI solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential to influence the next generation of AI technology.
- Why this job: Make a real impact on cutting-edge AI projects and collaborate with top tech organisations.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € per year.
About the Project
Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. 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.
Multi-Agent Systems Engineer (Remote) in Derby employer: Outlier
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to work alongside some of the brightest minds in technology. Join us to not only advance your career but also to contribute to groundbreaking projects that shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) in Derby
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering 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 multi-agent systems or complex integrations. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail — we want to see how you think!
✨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 Multi-Agent Systems Engineer (Remote) in Derby
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Multi-Agent Systems 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’ve 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. Remember, we’re looking for outstanding attention to detail!
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
✨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 to demonstrate your understanding of databases and how they integrate with backend systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Be ready to explain your thought process and the steps you took to resolve issues, especially in live environments.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, practice articulating your thoughts clearly. You might be asked to review a piece of code or a system design, so being able to pinpoint subtle failures or inefficiencies will impress your interviewers.
✨Familiarise Yourself with Real-World Applications
Research how multi-agent systems are used in real-world scenarios, particularly in relation to the projects at Outlier. Understanding how to integrate agents with tools like Supabase or Gmail can give you an edge, so think about how you would apply your skills to solve practical problems.
