LLM Engineer (Remote) in Glasgow

LLM Engineer (Remote) in Glasgow

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

At a Glance

  • Tasks: Shape the future of AI by training advanced language models and optimising complex workflows.
  • Company: Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with potential to work on cutting-edge technology.
  • Why this job: Join a team that’s redefining AI agents and make a real impact.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 60000 - 80000 € 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.

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 Engineer (Remote) in Glasgow employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Engineers to contribute to groundbreaking AI projects from the comfort of their own homes. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, ensuring that our team members are at the forefront of AI technology. Join us to be part of a dynamic team that values creativity and offers the chance 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 Engineer (Remote) in Glasgow

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 land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. We love seeing real-world applications of your work, so make sure to highlight any cool stuff you've built.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with multi-turn system interactions to impress your interviewers.

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 passionate individuals ready to shape the future of AI!

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

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 integration in your previous roles.

Be Specific About Your Experience:When detailing your qualifications, be specific about the languages you've worked with and the projects you've completed. Mention any hands-on experience with live environments and multi-turn interactions to really catch our eye.

Attention to Detail is Key:We love candidates who pay attention to detail! Make sure your application is free from typos and clearly outlines your technical feedback skills. This shows us you can handle the complexities of our projects.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

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 experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations, as this will show you understand the role's requirements.

Understand the Project Goals

Familiarise yourself with Outlier’s mission and projects, especially around training Large Language Models. Being able to discuss how you can contribute to shaping autonomous agents will impress the interviewers and show your genuine interest in the role.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects or challenges they face with their AI agents. This not only shows your enthusiasm but also helps you gauge if the company culture and goals align with your own aspirations.