LLM Integration Engineer (Remote) (Birmingham)

LLM Integration Engineer (Remote) (Birmingham)

Full-Time 50000 - 60000 € / 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 flexibility, competitive salary, and growth opportunities.
  • Other info: Dynamic team environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects and technologies.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 50000 - 60000 € per year.

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 to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Remote working/work at home options are available for this role.

LLM Integration Engineer (Remote) (Birmingham) 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 from Birmingham. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while also offering flexible working arrangements and a supportive environment for professional development.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. A personal connection can often get your foot in the door faster than a CV.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to backend engineering and AI automation.

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) (Birmingham)

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 reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your past work that align with our mission at StudySmarter.

Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing candidates who can build production-grade software, so be sure to highlight relevant projects!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and we can’t wait to see your application come through!

How to prepare for a job interview at Outlier AI

Know Your Tech Inside Out

Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex systems integration challenges. Think about specific instances where you built production-grade software or handled multi-turn system interactions, and be ready to explain your thought process.

Demonstrate Attention to Detail

Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might want to prepare a few scenarios where you identified subtle failures or optimised workflows, as this will show your keen eye for detail.

Familiarise Yourself with Real-World Applications

Research how AI agents are integrated with tools like Supabase and Gmail. Being able to discuss practical applications and your hands-on experience with APIs will set you apart and show that you're not just theoretically knowledgeable but also practically savvy.