At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on exciting projects and advance your career.
- Why this job: Make a real impact on cutting-edge AI technology and enhance autonomous agents.
- 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 Edinburgh employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to work on groundbreaking projects with leading AI organisations. Join us to be part of a team that values your expertise and encourages you to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) in Edinburgh
✨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 common technical questions related to backend engineering and AI automation. We want to see how you think through problems, so practice explaining your thought process.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace LLM Integration Engineer (Remote) in Edinburgh
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and LLMs in your application. Share any personal projects or experiences that highlight your interest in shaping the future of autonomous agents. We love seeing candidates who are genuinely excited about what they do!
Tailor Your CV:Make sure your CV is tailored to the role of LLM Integration Engineer. Highlight your backend engineering experience, especially with modular software and multi-turn interactions. We want to see how your skills align with our needs, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Use it to explain how your background in AI automation and complex systems integration makes you an ideal candidate. Keep it engaging and relevant to the job description!
Apply Through Our Website:We encourage you to apply directly 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 our company and culture!
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 Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with AI Workflows
Since the role involves training Large Language Models, it’s crucial to understand how these systems work. Research the latest trends in AI and be prepared to discuss how you can contribute to improving autonomous agents. Showing genuine interest in the field will set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your enthusiasm for the role and the company. Ask about their current projects, the tools they use for integration, or how they handle privacy concerns. This not only shows your interest but also helps you gauge if the company is the right fit for you.
