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 and 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) (Manchester) in Stretford 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 Manchester. 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 are at the forefront of technology while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-Agent Systems Engineer (Remote) (Manchester) in Stretford
✨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 technical questions related to backend engineering and AI automation. We recommend practicing coding challenges and discussing your thought process out loud.
✨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) (Manchester) in Stretford
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 experience you have with SQL databases. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! When describing your past roles and responsibilities, keep it concise but informative. Use bullet points if it helps make your achievements stand out. Remember, we’re looking for attention to detail, so make sure your application is free from typos and errors.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration in the past. This is your chance to show off your technical prowess!
✨Showcase Real-World Experience
Prepare examples from your previous roles where you've built production-grade software or handled multi-turn system interactions. Highlight specific projects where you integrated agents with live tools or solved real-world problems. Concrete examples will make you stand out!
✨Attention to Detail is Key
Since the role requires outstanding attention to detail, be prepared to discuss how you've provided clear, high-density technical feedback on complex system behaviours. Think of instances where your keen eye caught subtle failures or optimised workflows.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, especially around training Large Language Models and multi-agent systems. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
