OpenClaw LLM Engineer (Remote) in Devon

OpenClaw LLM Engineer (Remote) in Devon

Devon 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 projects and career advancement potential.
  • Why this job: Make a real impact on cutting-edge AI technology and complex workflows.
  • 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.

OpenClaw LLM Engineer (Remote) in Devon employer: Outlier AI

Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a strong focus on innovation and collaboration, we offer a dynamic remote work culture that fosters creativity and professional growth. Employees benefit from engaging projects that challenge their skills while providing opportunities to work alongside leading AI organisations, ensuring a rewarding and meaningful career path.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land OpenClaw LLM Engineer (Remote) in Devon

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 LLMs or complex systems. This gives us a tangible way to see what you can do beyond the written application.

Tip Number 3

Prepare for interviews by brushing up on technical concepts relevant to the role. We love seeing candidates who can discuss their experience with backend engineering and AI automation confidently.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets the attention it deserves. 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 OpenClaw LLM Engineer (Remote) in Devon

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 autonomous agents in your application. Share any personal projects or experiences that highlight your interest in shaping the future of technology.

Tailor Your CV:Make sure your CV reflects the skills and experiences that match our ideal qualifications. Highlight your backend engineering experience and any work with LLMs or complex systems integration to catch our eye.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for the OpenClaw LLM Engineer role. Be specific about how your background aligns with our projects and what unique insights you can bring to the team.

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 don’t miss out on any important updates during the process.

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 real-world problems using these technologies during the interview.

Showcase Your Experience

Prepare specific examples from your past work that demonstrate your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations, as this will show you understand the role's requirements.

Understand the Project Goals

Familiarise yourself with Outlier’s mission and the concept of training Large Language Models. Think about how your skills can contribute to shaping autonomous agents like OpenClaw, and be prepared to share your thoughts on the future of AI in this context.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects and challenges they face. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your understanding of multi-stage coordination tasks and real-world problem-solving.