At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to train advanced generative systems and make a real impact.
- 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) (City of Edinburgh) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, providing employees with opportunities to work on cutting-edge AI projects that shape the future of technology. With a focus on employee well-being and a commitment to meaningful work, we ensure that our team members are not only valued but also empowered to make a significant impact in the field of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) (City of Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with multi-agent systems. 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 demonstrates your ability to handle complex systems, make sure it’s front and centre when you’re chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss how you’ve tackled real-world problems in your past roles. We want to see your thought process in action!
✨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 and engaged with our mission to improve AI agents. Let’s shape the future together!
We think you need these skills to ace Multi-Agent Systems Engineer (Remote) (City of Edinburgh)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love seeing clear examples of your work with languages like Python or JavaScript, and how you’ve handled multi-turn interactions.
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
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 might be asked to solve problems on the spot or discuss your past projects involving these technologies.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your previous work where you built production-grade software or handled complex system interactions. Be ready to discuss how you approached challenges and what solutions you implemented, especially in live environments.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you identified subtle failures in systems, like privacy leaks or authority escalation. Be prepared to explain your thought process and how you resolved these issues, as this will show your attention to detail and critical thinking.
✨Engage with Their Vision
Research Outlier and their projects, especially around AI agents and LLMs. Show genuine interest in their work and be ready to discuss how your skills can contribute to shaping the future of autonomous agents. This will help you connect with the interviewers on a deeper level.
