Multi-Agent Systems Engineer (Remote) in Cheshire, Warrington

Multi-Agent Systems Engineer (Remote) in Cheshire, Warrington

Warrington +1 Full-Time 60000 - 80000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced autonomous agents and optimising complex workflows.
  • Company: Join Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement potential.
  • Why this job: Make a real impact in the AI field while working on cutting-edge technology.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 60000 - 80000 € 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.

Locations

WarringtonCheshire

Multi-Agent Systems Engineer (Remote) in Cheshire, Warrington 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 promotes flexibility and work-life balance, while offering ample opportunities for professional growth through engaging projects with leading AI organisations. Join us to be part of a team that values your expertise and creativity, as we shape the future of autonomous agents together.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Multi-Agent Systems Engineer (Remote) in Cheshire, Warrington

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-agent systems or backend engineering. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built.

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-turn system interactions to impress your interviewers.

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 autonomous agents.

We think you need these skills to ace Multi-Agent Systems Engineer (Remote) in Cheshire, Warrington

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

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 structured. 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 Multi-Agent Systems Engineer position. We can’t wait to hear from you!

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 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 AI automation challenges. Be ready to explain your thought process and the steps you took to achieve successful outcomes, especially in live environments.

Understand Multi-Agent Systems

Familiarise yourself with the concepts of multi-agent systems and orchestration. You might be asked about your experience with coordinating tasks and how you’ve handled multi-turn interactions in previous projects. Having concrete examples will help you stand out.

Ask Insightful Questions

Prepare thoughtful questions about the company’s projects and their approach to training AI agents. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to demonstrate your knowledge about the industry.