At a Glance
- Tasks: Help shape the future of AI by training advanced language models.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, 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 and 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. 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 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 Engineer (Remote) (Leeds) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Engineers to thrive in a remote setting from Leeds. With a strong focus on employee growth, we offer opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while providing flexible working arrangements and a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote) (Leeds)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. This is your chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in this role.
✨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 Engineer (Remote) (Leeds)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the LLM 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! Include specific examples of projects where you’ve built production-grade software or worked with major programming languages like Python or JavaScript. This helps us see your practical experience in action.
Be Clear and Concise:We appreciate clarity! When describing your experiences, keep it concise but informative. Use bullet points if necessary to make it easy for us to read through your achievements and contributions. Remember, attention to detail matters!
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 Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in the languages mentioned like Python or JavaScript. Be ready to discuss your past projects and how you've tackled complex systems integration. This is your chance to show off your expertise!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved real-world problems using AI automation or backend engineering. Think about specific challenges you've faced and how you approached them. This will demonstrate your ability to think critically and adaptively.
✨Understand the Project's Goals
Familiarise yourself with Outlier's mission and the specifics of the role. Knowing how they improve AI agents and what they expect from an LLM Engineer will help you tailor your answers and show that you're genuinely interested in contributing to their projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, or the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.
