LLM Integration Engineer (Remote) (Nottingham)

LLM Integration Engineer (Remote) (Nottingham)

Nottingham Full-Time 50000 - 60000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced autonomous agents with innovative technology.
  • Company: Join Outlier, a leader in AI feedback and collaboration with top tech firms.
  • Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative culture focused on innovation and real-world problem-solving.
  • Why this job: Make a real impact on cutting-edge AI projects and enhance your skills in a dynamic environment.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.

The predicted salary is between 50000 - 60000 € 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 Integration Engineer (Remote) (Nottingham) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Integration Engineers to thrive in a remote setting while contributing to groundbreaking AI projects. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development, ensuring that our team members are at the forefront of technology. Join us in Nottingham and be part of a dynamic team that values creativity and impactful contributions 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 Integration Engineer (Remote) (Nottingham)

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 Integration Engineer (Remote) (Nottingham)

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 used and the projects you've worked on. 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'll likely be asked to demonstrate your understanding of databases and how they integrate with backend systems.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think about how you’ve built production-grade software and be ready to explain your thought process and the outcomes.

Demonstrate Attention to Detail

Since the role requires high-density technical feedback, practice articulating your thoughts clearly. You might be asked to analyse a system's behaviour, so being able to pinpoint subtle issues and suggest improvements will set you apart.

Familiarise Yourself with Real-World Applications

Research how LLMs are currently being used in real-world scenarios, especially in relation to tools like Supabase and Gmail. Being able to discuss practical applications and potential improvements will show your genuine interest in the field and the company’s mission.