At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € per year.
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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
Multi-Agent Systems Engineer (Remote) (Bradford) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home in Bradford. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI, ensuring that you can shape the future of autonomous agents while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) (Bradford)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-agent systems or complex integrations. We love seeing real-world applications of your expertise!
✨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 projects to highlight your experience.
✨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 candidates like you!
We think you need these skills to ace Multi-Agent Systems Engineer (Remote) (Bradford)
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 our projects and culture at StudySmarter.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you designed workflows or optimised processes, and be ready to explain your thought process during the interview.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, practice articulating your thoughts clearly. You might be asked to analyse a system's behaviour, so be prepared to dive deep into the details and highlight any subtle failures you've encountered in past projects.
✨Familiarise Yourself with Real-World Applications
Research how multi-agent systems are currently being used in various industries. Be ready to discuss how you would integrate agents with live tools like Supabase or Gmail, and think about potential real-world problems you could help solve with your expertise.
