LLM Engineer (Remote) (Cambridge)

LLM Engineer (Remote) (Cambridge)

Part-Time 60000 - 80000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Help shape the future of AI by training advanced language models and optimising workflows.
  • Company: Join Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects and career advancement potential.
  • Why this job: Make a real impact in the AI field while working on cutting-edge technology.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 60000 - 80000 € per year.

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 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 Engineer (Remote) (Cambridge) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Engineers to thrive in a remote setting while contributing to groundbreaking AI projects. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of technology. Join us in shaping the future of autonomous agents and enjoy the flexibility of remote work alongside a passionate group of professionals dedicated to making a meaningful impact.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. We want to see what you can do, so make sure it’s easy for us to find and understand your work.

Tip Number 3

Prepare for the interview like it’s the big game! Research Outlier and our projects, and think about how your experience aligns with what we do. We love candidates who can connect their background to our mission.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team.

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

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

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the LLM Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills with AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with Large Language Models and how you’ve tackled challenges in past projects. Let us know why you’re the perfect fit!

Show Off Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention the programming languages you’re comfortable with, especially Python, JavaScript, Go, or Java. If you've worked with SQL databases or integrated agents with live tools, make sure to include those experiences. We love seeing your skills in action!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll get to see more about our culture and values while you’re at it!

How to prepare for a job interview at Outlier AI

Know Your Tech Inside Out

Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex system integrations or AI automation challenges in the past. Think about specific projects where you had to design workflows or optimise processes, and be ready to explain your thought process.

Demonstrate Attention to Detail

Since this role requires a keen eye for detail, come prepared with instances where your attention to detail made a difference. Whether it’s catching subtle failures or providing technical feedback, having concrete examples will impress them.

Familiarise Yourself with Their Projects

Do some homework on Outlier and their work with AI agents like OpenClaw. Understanding their mission and recent projects will not only help you answer questions but also show your genuine interest in the role and the company.