LLM Agent Engineer (Freelance, Remote) in London

LLM Agent Engineer (Freelance, Remote) in London

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 innovative AI solutions.
  • Benefits: Freelance flexibility, remote work, and the chance to impact cutting-edge technology.
  • Other info: Collaborative environment with opportunities to work on exciting projects.
  • Why this job: Be at the forefront of AI development 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.

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.

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

Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a focus on innovation and collaboration, we offer a dynamic remote work environment that fosters creativity and professional growth. Our commitment to employee development, coupled with the opportunity to work on cutting-edge projects with leading AI organisations, makes us an attractive choice for talented individuals eager 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 LLM Agent Engineer (Freelance, Remote) in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on freelance gigs or can refer you to someone looking for your skills.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. This will give potential clients a taste of what you can do and set you apart from the crowd.

Tip Number 3

Don’t be shy about applying through our website! We love seeing passionate candidates who are eager to shape the future of AI. Tailor your application to highlight your experience with backend engineering and multi-turn interactions.

Tip Number 4

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects in detail, especially how you've tackled real-world challenges in AI automation.

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

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 detailing your technical skills, be specific about the languages and tools you’ve used. Mention your experience with SQL databases and any live environments you've worked in. This helps us understand your expertise better.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the qualifications we’re looking for. Show us how your background aligns with our projects and the role of LLM Agent Engineer.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re serious about joining our team!

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'll likely be asked about your experience with databases and how you've used them in past projects.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Think of scenarios where you’ve built production-grade software and be ready to explain your thought process and the outcomes.

Demonstrate Attention to Detail

Since the role requires providing clear technical feedback, practice articulating your thoughts on system behaviours. You might be asked to analyse a scenario or code snippet, so being precise and thorough will set you apart.

Familiarise Yourself with Real-World Applications

Research how autonomous agents are currently being used in various industries. Be prepared to discuss how you would integrate these agents with live tools like Supabase or Gmail, and think about potential challenges you might face in real-world applications.