At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents with innovative projects.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI technology and enhance your skills.
- 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) (Glasgow City) 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 is built on continuous learning and growth, providing employees with ample opportunities to enhance their skills in cutting-edge AI technologies while working alongside industry leaders. With a focus on meaningful projects that shape the future of autonomous agents, we ensure that our team members are not only valued but also empowered to make a significant impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) (Glasgow City)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 demonstrate your expertise in action, so make it shine!
✨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 with backend engineering and AI automation. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight your experience with LLMs and multi-step agents, and let us know why you’re excited about shaping the future of autonomous agents.
We think you need these skills to ace Multi-Agent Systems Engineer (Remote) (Glasgow City)
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! Provide examples of your work with languages like Python or JavaScript, and mention any hands-on experience you have with SQL databases. This helps us understand your practical abilities.
Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise but detailed enough to convey your impact. Use bullet points if it helps keep things organised. Remember, we’re looking for outstanding attention to detail, so make sure your application reflects that!
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 and how you can contribute!
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 or optimise workflows, and be ready to explain your thought process and the outcomes.
✨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 be prepared to point out potential issues or improvements.
✨Familiarise Yourself with Real-World Applications
Research how multi-agent systems are currently being used in various industries. Be ready to discuss how you can apply your skills to real-world problems, especially in relation to integrating agents with live tools and APIs.
