LLM Integration Engineer (Remote) (Cambridge)

LLM Integration Engineer (Remote) (Cambridge)

Cambridge Full-Time 50000 - 70000 € / year (est.) 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 significant career advancement in the AI field.
  • 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 - 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 Integration Engineer (Remote) (Cambridge) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about shaping the future of AI. With a focus on employee growth, we offer opportunities to work on cutting-edge projects in a remote setting, allowing you to balance your professional and personal life while contributing to meaningful advancements in technology.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. We love seeing real-world applications of your work, so make sure to highlight any relevant experience.

Tip Number 3

Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. We recommend practicing coding challenges and discussing your thought process out loud to impress your interviewers.

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’re always on the lookout for passionate candidates who want to shape the future of autonomous agents.

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

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! Provide examples of your work with languages like Python or JavaScript, and mention any experience you have with SQL databases. This helps us understand your practical experience better.

Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise but detailed enough to convey your impact. Use bullet points if it helps make your achievements stand out. 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 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 solve problems on the spot or discuss your past projects involving these technologies.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.

Understand the Project's Goals

Familiarise yourself with Outlier’s mission and the specifics of their projects, like training LLMs for real-world applications. This will not only help you answer questions more effectively but also show your genuine interest in the role and the company.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project timelines, or the technologies they use. This demonstrates your enthusiasm and helps you gauge if the company culture aligns with your values and work style.