LLM Engineer (Remote) (City of Edinburgh)

LLM Engineer (Remote) (City of Edinburgh)

Edinburgh Full-Time 50000 - 70000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced language models and optimising workflows.
  • Company: Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects and career advancement potential.
  • Why this job: Join a cutting-edge team and make a real impact in AI technology.
  • 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. 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 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) (City of Edinburgh) 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 from the beautiful City of Edinburgh. With a strong focus on employee growth, we offer opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while providing a supportive environment that values creativity and technical expertise. Join us to be part of a team that not only pushes the boundaries of technology but also prioritises your professional development and well-being.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land LLM Engineer (Remote) (City of Edinburgh)

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 love seeing real-world applications of your work, so make sure to highlight any relevant experience.

Tip Number 3

Prepare for the interview like it’s a big game day! Research Outlier and our projects, and be ready to discuss how your background fits into our mission. We want to see your passion for AI and how you can contribute to our team.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talent that aligns with our vision, so don’t hesitate!

We think you need these skills to ace LLM Engineer (Remote) (City of Edinburgh)

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 with 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 past projects, be specific about the technologies you used and the challenges you faced. We love a good story about how you solved a tricky problem or optimised a workflow.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. We appreciate when candidates take the time to connect their background to what we’re looking for.

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’re considered for the role. Plus, it’s super easy!

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, as well as SQL databases. Be ready to discuss your past projects in detail, focusing on how you built and maintained production-grade software.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex system integrations or AI automation challenges. Highlight any experience with multi-turn interactions and how you approached them, as this will resonate well with the interviewers.

Demonstrate Attention to Detail

During the interview, be prepared to provide clear, high-density feedback on technical scenarios. This could involve discussing subtle failures you've identified in previous roles, such as privacy leaks or authority escalations.

Familiarise Yourself with Real-World Applications

Research how autonomous agents like OpenClaw function and think about how your skills can contribute to improving them. Discuss any hands-on experience you have with integrating agents with live tools, as this will show your practical understanding of the role.