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 integration.
- Benefits: 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 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) (Glasgow City) 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. Join us in Glasgow City and be part of a team that values your expertise and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) (Glasgow City)
✨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 get your foot in the door.
✨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 the interview like it’s a coding challenge! Brush up on your technical skills and be ready to discuss your past projects in detail. We want to see how you think and solve problems, so practice articulating your thought process.
✨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 individuals who want to shape the future of AI with us.
We think you need these skills to ace LLM Integration Engineer (Remote) (Glasgow City)
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. Be ready to explain your thought process and the steps you took to resolve issues, especially in live environments.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, practice articulating your thoughts clearly and concisely. You might be asked to review a piece of code or a system design, so being able to pinpoint subtle failures or improvements will impress your interviewers.
✨Familiarise Yourself with Real-World Applications
Research how LLMs are currently being used in various industries. Understanding practical applications, like integrating agents with tools such as Supabase or Gmail, will help you discuss how you can contribute to the team’s goals effectively.
