LLM Integration Engineer (Remote) in Gloucester

LLM Integration Engineer (Remote) in Gloucester

Gloucester Full-Time 60000 - 80000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Help shape the future of AI by training advanced generative systems.
  • Company: Join Outlier, a leader in AI innovation and collaboration.
  • Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects and enhance your skills.
  • 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.

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) in Gloucester employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI, ensuring that you are at the forefront of technology while enjoying the flexibility of remote work.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This gives us a tangible way to see what you can do.

Tip Number 3

Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. We love candidates who can dive deep into their expertise and share insights.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love when candidates take the initiative to connect directly with us.

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

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for AI and LLMs shine through! We love seeing candidates who are genuinely excited about shaping the future of autonomous agents. Share your experiences and what drives you in this field.

Tailor Your CV:Make sure to customise your CV to highlight relevant experience in backend engineering and AI automation. We want to see how your skills align with our projects, so don’t be shy about showcasing your achievements in complex systems integration!

Be Clear and Concise:In your written application, clarity is key! Use straightforward language to explain your technical skills and experiences. We appreciate applicants who can communicate complex ideas simply, especially when it comes to multi-turn system interactions.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Experience

Prepare specific examples from your previous work that demonstrate your ability to build and maintain production-grade software. Highlight any complex systems integration projects you've worked on, especially those involving AI automation.

Understand the Project Goals

Familiarise yourself with Outlier's mission and the types of AI agents they work with. Be ready to discuss how your skills can contribute to shaping the future of autonomous agents and improving their performance.

Ask Insightful Questions

Prepare thoughtful questions about the role and the company’s projects. This shows your genuine interest and helps you gauge if the company culture aligns with your values, especially regarding innovation and collaboration in AI.