LLM Agent Engineer (Freelance, Remote) (Cambridge)

LLM Agent Engineer (Freelance, Remote) (Cambridge)

Cambridge Freelance 50000 - 70000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Help shape the future of AI agents by providing human feedback and training LLMs.
  • Company: Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Freelance remote work with flexible hours and the chance to work on cutting-edge projects.
  • Other info: Dynamic role with opportunities to work on innovative, real-world applications.
  • Why this job: Join a team that’s redefining AI technology and make a real impact.
  • 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) (Cambridge) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home. With a focus on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI, making it a rewarding environment for those passionate about shaping the future of technology. Join us in Cambridge and be part of a team that values your expertise and encourages you to push the boundaries of what's possible.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

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 is your chance to demonstrate your expertise and make a lasting impression on potential clients.

Tip Number 3

Don’t just apply anywhere—apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with backend engineering and AI automation to stand out.

Tip Number 4

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you tackled challenges, especially in live environments. Confidence is key!

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

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 About Your Experience:When you describe your past projects, be specific about the languages you've used and the environments you've worked in. We love details, especially when it comes to your hands-on experience with live tools and multi-turn interactions.

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 unique background makes you the perfect fit for shaping the future of autonomous agents.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!

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 ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.

Understand the Project Goals

Familiarise yourself with Outlier’s mission and the types of AI agents they’re developing. Being able to discuss how your skills can contribute to shaping autonomous agents like OpenClaw will show your genuine interest and alignment with their goals.

Prepare for Technical Questions

Expect to dive deep into technical discussions about multi-turn system interactions and data handling. Be ready to explain your thought process when identifying subtle failures or implementing persistent state, as these are crucial for the role.