LLM Agent Engineer (Freelance, Remote) (London)

LLM Agent Engineer (Freelance, Remote) (London)

Freelance 50000 - 70000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced autonomous agents.
  • Company: Join Outlier, a leader in AI innovation and collaboration.
  • Benefits: Freelance flexibility, remote work, and opportunities for impactful projects.
  • Other info: Dynamic role with potential for growth in a cutting-edge field.
  • Why this job: Be at the forefront of AI technology and make a real difference.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 50000 - 70000 € per year.

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 to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Remote working/work at home options are available for this role.

LLM Agent Engineer (Freelance, Remote) (London) employer: Outlier AI

Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment that empowers freelancers to contribute meaningfully to cutting-edge projects. With a strong focus on employee growth, Outlier provides opportunities for skill enhancement and professional development while fostering a culture of creativity and teamwork. Join us in shaping the future of autonomous agents from the comfort of your home, where your expertise will directly impact the evolution of advanced generative systems.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land LLM Agent Engineer (Freelance, Remote) (London)

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. 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 showcasing your projects, especially those involving LLMs or complex systems. We love seeing real-world applications of your expertise, so make it shine!

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to backend engineering and AI automation. We recommend practicing coding challenges and discussing your thought process out loud.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI agents.

We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (London)

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

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the LLM Agent Engineer role. Highlight your experience in backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills with languages like Python or JavaScript.

Showcase Your Experience:We want to see your hands-on experience! Include specific examples of how you've built production-grade software and handled complex system interactions. This is your chance to shine, so be detailed about your contributions and the impact they had.

Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still showcasing your technical expertise.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.

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.

Showcase Your Experience

Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation.

Understand the Role of LLMs

Familiarise yourself with how Large Language Models function and their applications in real-world scenarios. Be ready to discuss how you can contribute to training these models effectively.

Ask Insightful Questions

Prepare thoughtful questions about the company’s projects and their approach to AI agents. This shows your genuine interest and helps you gauge if the role is the right fit for you.