OpenClaw Multi-Agent Engineer (Remote) in Reading

OpenClaw Multi-Agent Engineer (Remote) in Reading

Reading Full-Time 50000 - 70000 € / year (est.) Home office possible
Outlier

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: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges and career advancement potential.
  • Why this job: Make a real impact on cutting-edge AI projects and enhance your tech 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. 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

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 thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.

Outlier

Contact Detail:

Outlier 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. 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 workflows. 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 seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.

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 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 past projects, be specific about the technologies you used and the challenges you faced. We love seeing clear examples of your work with languages like Python or JavaScript, especially in live environments.

Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for!

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.

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 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 high-density technical feedback, practice articulating your thoughts on system behaviours. You might be given a scenario during the interview, so be prepared to analyse it critically and provide constructive feedback.

Familiarise Yourself with Real-World Applications

Research how autonomous agents are currently being used in various industries. Be ready to discuss how you would integrate agents with live tools like Supabase or Gmail, and think about potential real-world problems you could help solve with your expertise.