At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on exciting, real-world AI projects.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- 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. Do you want to shape the future of autonomous agents like OpenClaw? 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
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, providing employees with opportunities to work on cutting-edge AI projects that shape the future of technology. With a focus on employee well-being and a commitment to meaningful work, we ensure that our team members feel valued and empowered in their roles.
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 software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs or complex systems integration. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your past projects and how they relate to the role. Confidence is key, so let your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with multi-turn system interactions and any relevant tools you've worked with.
We think you need these skills to ace LLM Integration Engineer (Remote) (Glasgow City)
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 give us a good picture of your capabilities. Use bullet points if it helps keep things organised and easy to read. Remember, attention to detail matters!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super straightforward, and we’ll be able to track your application easily. Plus, it shows us you're keen on joining our team 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'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. Think about how you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the projects they’re working on, like OpenClaw. Being able to articulate how your skills can contribute to shaping autonomous agents will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company’s projects. Inquire about their approach to multi-stage coordination tasks or how they handle privacy concerns in AI systems. This shows you’re not just interested in the job, but also in the bigger picture.
