At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- Qualifications: 2+ years in backend engineering and 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. 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.
Multi-Agent Systems Engineer (Remote) (Cambridge) employer: Outlier AI
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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our engineers can thrive in their roles. With a focus on meaningful projects that shape the future of autonomous agents, we offer a unique environment where your contributions directly impact cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-agent systems or complex workflows. We love seeing real-world applications of your expertise, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with multi-step systems. Confidence is key!
✨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’re always on the lookout for passionate individuals ready to shape the future of AI.
We think you need these skills to ace Multi-Agent Systems Engineer (Remote) (Cambridge)
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 technical skills, be specific about the languages you know and the projects you've worked on. Mention any experience with SQL databases and multi-turn system interactions to catch our eye.
Attention to Detail is Key:We love candidates who pay attention to detail. Make sure your application is free from typos and clearly outlines your qualifications. This shows us you can provide high-density technical feedback, which is crucial for the role.
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 position. 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 demonstrate your understanding of databases during the interview.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your past work where you've built production-grade software or handled complex systems integration. Be ready to discuss specific challenges you faced and how you overcame them, especially in live environments.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you had to identify subtle failures or optimize workflows. Share these experiences to highlight your attention to detail and ability to provide high-density technical feedback on system behaviours.
✨Familiarise Yourself with Multi-Agent Systems
Since the role focuses on training AI agents, it’s a good idea to brush up on multi-agent systems concepts. Be prepared to discuss how you would approach designing and coordinating complex workflows, and don’t hesitate to share any relevant projects you’ve worked on.
