At a Glance
- Tasks: Shape the future of AI by training advanced language models and optimising complex workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on cutting-edge technology.
- Why this job: Join a team that’s redefining AI agents and make a real impact.
- 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 Engineer (Remote) in Bournemouth employer: Outlier AI
Outlier is an exceptional employer for LLM Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with leading AI organisations. Our culture prioritises employee growth through continuous learning opportunities and hands-on experience with cutting-edge technology, empowering you to shape the future of autonomous agents while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote) in Bournemouth
✨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. 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 knowledge 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 Engineer (Remote) in Bournemouth
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. Don't hold back on showcasing your command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and technical prowess.
Tailor Your Application:Take a moment to customise your application for the LLM Engineer role. Mention how your skills align with our focus on training advanced generative systems. This shows us that you’re genuinely interested in the position and understand what we do.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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 need to discuss how you’ve used these technologies in past projects.
✨Showcase Your Experience
Prepare specific examples from your previous work that demonstrate your ability to build and maintain production-grade software. Highlight any complex systems integration you've done, especially if it involved multi-turn interactions or real-world applications.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the types of AI agents they work with. Be ready to discuss how your skills can contribute to training advanced generative systems and improving AI workflows.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s projects. This shows your genuine interest and helps you gauge if the position aligns with your career goals, especially regarding the integration of live tools and handling complex data tasks.
