LLM Integration Engineer (Remote) (Bradford)

LLM Integration Engineer (Remote) (Bradford)

Bradford Full-Time 50000 - 60000 € / 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: Join Outlier, a leader in AI innovation with a collaborative remote culture.
  • Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
  • Other info: Dynamic role with potential for career advancement in a fast-paced environment.
  • Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

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) (Bradford) employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, especially for our LLM Integration Engineers. Our remote position allows you to work from Bradford while contributing to cutting-edge AI projects that shape the future of autonomous agents. We offer ample opportunities for professional growth, a supportive team environment, and the chance to work with leading AI organisations, making your role both meaningful and rewarding.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

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 will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with backend engineering and AI automation.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about shaping the future of AI. Plus, it shows you're genuinely interested in joining our team.

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

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 Integration Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in 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, we’re looking for outstanding attention to detail!

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. Plus, it gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Outlier AI

Know Your Tech Stack

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 need to discuss how you’ve used these technologies in past projects.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex system integrations or AI automation challenges. Be ready to explain your thought process and the steps you took to achieve successful outcomes.

Understand the Project's Goals

Familiarise yourself with Outlier’s mission and the specifics of their projects. Think about how your experience aligns with their focus on training LLMs and improving AI agents, and be prepared to discuss how you can contribute.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, the technologies they use, or how they measure success in their AI initiatives. This demonstrates your enthusiasm and engagement.