OpenClaw Multi-Agent Engineer (Remote) (City of Edinburgh)

OpenClaw Multi-Agent Engineer (Remote) (City of Edinburgh)

Edinburgh Part-Time 50000 - 70000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced autonomous agents like OpenClaw.
  • Company: Join Outlier, a leader in AI innovation and collaboration.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects and enhance your skills.
  • 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. 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.

OpenClaw Multi-Agent Engineer (Remote) (City of Edinburgh) employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, providing employees with opportunities to work on cutting-edge AI projects that shape the future of technology. With a focus on employee well-being and a commitment to meaningful work, we ensure that our team members are not only valued but also empowered to make a significant impact in the field of autonomous agents.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land OpenClaw Multi-Agent Engineer (Remote) (City of Edinburgh)

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with multi-agent systems. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. If you’ve built anything that integrates with live tools or demonstrates your coding prowess, make sure it’s front and centre when you chat with potential employers.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss how you’ve tackled complex system interactions in your past roles. We want to see your thought process!

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 love seeing candidates who are proactive about their job search. So, get your application in and let’s shape the future of autonomous agents together!

We think you need these skills to ace OpenClaw Multi-Agent Engineer (Remote) (City of Edinburgh)

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, so don’t hold back!

Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of your work with multi-turn system interactions and how you’ve integrated agents with live tools.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. It shows us you’re genuinely interested in the role.

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’re considered for the role without any hiccups!

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 solve problems on the spot or discuss your past projects involving these technologies.

Showcase Your Experience with Real-World Applications

Prepare examples from your previous work where you built production-grade software or handled complex system integrations. Be ready to discuss how you approached multi-turn interactions and what challenges you faced while working in live environments.

Demonstrate Your Problem-Solving Skills

Think of specific instances where you identified and resolved subtle failures in systems, such as privacy leaks or authority escalations. This will show your attention to detail and your ability to provide high-density technical feedback.

Familiarise Yourself with Multi-Agent Systems

Since the role involves training advanced generative systems, it’s a good idea to brush up on concepts related to multi-agent coordination tasks. If you have experience integrating agents with tools like Supabase or Gmail, be prepared to discuss that in detail.