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 minds.
- 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 Bournemouth employer: Outlier
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of AI. Our remote work culture empowers engineers to thrive in a flexible environment while contributing to groundbreaking projects that shape the future of autonomous agents. With a strong emphasis on professional growth, we offer opportunities for skill enhancement and career advancement, making us an ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) in Bournemouth
✨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 with real-world applications.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Multi-Agent Systems Engineer (Remote) in Bournemouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your past work that align with our mission at Outlier, and let us know why you’re excited to join our team.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript. If you've worked with SQL databases or built production-grade software, make sure to include those details. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to be part of our community!
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 built production-grade software. Highlight any experiences where you’ve optimised workflows or improved AI agents, as this will resonate well with the interviewers.
✨Understand Multi-Agent Systems
Familiarise yourself with the concepts of multi-agent systems and orchestration. Be ready to explain how you would approach designing and coordinating these systems, especially in relation to real-world applications. This shows your passion for the field and your ability to think critically about the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to AI. Inquire about their current challenges with autonomous agents or how they measure success in their systems. This not only demonstrates your interest but also gives you a clearer picture of what working there would be like.
