LLM Engineer (Remote) (Newcastle upon Tyne)

LLM Engineer (Remote) (Newcastle upon Tyne)

Newcastle upon Tyne Full-Time 50000 - 70000 € / year (est.) No 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, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement potential.
  • Why this job: Join us to make a real impact on cutting-edge AI technology.
  • 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 Engineer (Remote) (Newcastle upon Tyne) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, perfect for LLM Engineers looking to make a significant impact in the AI field. With a focus on employee growth and development, we offer opportunities to work on cutting-edge projects from the comfort of your home, while being part of a dynamic team that values creativity and technical expertise. Join us in shaping the future of autonomous agents and enjoy the flexibility and support that comes with working remotely from Newcastle upon Tyne.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land LLM Engineer (Remote) (Newcastle upon Tyne)

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 job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This is your chance to demonstrate your expertise and passion for the field.

Tip Number 3

Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in this role.

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 love seeing candidates who are proactive about their job search!

We think you need these skills to ace LLM Engineer (Remote) (Newcastle upon Tyne)

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!

Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with multi-turn system interactions. This helps us understand your practical experience better.

Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. Remember, attention to detail matters!

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 directly and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on 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 might be asked to demonstrate your understanding of databases during the interview.

Showcase Your Experience with Real-World Applications

Be ready to discuss specific projects where you've built production-grade software. Highlight any experience you have with multi-turn system interactions and how you tackled challenges in live environments.

Prepare for Technical Questions

Expect questions that dive deep into complex systems integration and AI automation. Practise explaining your thought process clearly and concisely, especially when it comes to providing technical feedback on system behaviours.

Demonstrate Problem-Solving Skills

Think of examples where you've identified and resolved subtle failures in systems. Be prepared to discuss how you would approach integrating agents with live tools and solving real-world problems, as this will show your practical understanding of the role.