OpenClaw Multi-Agent Engineer (Remote) in Reading

OpenClaw Multi-Agent Engineer (Remote) in Reading

Reading 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 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 team 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 60000 - 80000 € 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) in Reading 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 inclusivity, allowing you to contribute to groundbreaking projects from anywhere while enjoying opportunities for professional growth and development. Join us to be part of a team that values your expertise and encourages you to shape the future 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) in Reading

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. 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 or GitHub repository showcasing your projects, especially those related to backend engineering or AI automation. We love seeing practical examples of your work!

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 thought process out loud to impress 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 candidates who want to shape the future of autonomous agents.

We think you need these skills to ace OpenClaw Multi-Agent Engineer (Remote) in Reading

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

Some tips for your application 🫡

Show Your Passion:Let us see your enthusiasm for AI and multi-agent systems! In your application, share why you're excited about shaping the future of autonomous agents like OpenClaw. A little passion goes a long way!

Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. We want to know how your skills align with our needs, so don’t be shy about showcasing your past projects and achievements.

Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point without fluff.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. 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 might be asked to solve problems on the spot or discuss your past projects involving these technologies.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Think about how you designed workflows or optimised processes, and be ready to explain your thought process clearly.

Demonstrate Attention to Detail

Since the role requires a keen eye for detail, be prepared to provide high-density technical feedback on previous projects. Bring examples of how you identified and resolved subtle issues, like privacy leaks or authority escalations, to show you can handle the intricacies of multi-agent systems.

Familiarise Yourself with Real-World Applications

Research how OpenClaw and similar agents are used in real-world scenarios. Be ready to discuss how you would integrate agents with live tools and APIs, and think about potential challenges you might face in those integrations.