At a Glance
- Tasks: Help shape the future of AI by training advanced language models and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a cutting-edge tech environment.
- Why this job: Be at the forefront of AI technology and make a real impact on autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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) (Cardiff) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Engineers to shape the future of AI technology from the comfort of their own homes in Cardiff. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects with leading AI organisations. Our commitment to flexibility and a supportive environment makes Outlier a rewarding place for those passionate about advancing autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote) (Cardiff) in London
✨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 related to LLMs or complex systems. 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 common technical questions and scenarios related to backend engineering and AI automation. Practising with a friend or using mock interview platforms can help you feel more confident.
✨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) (Cardiff) in London
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 with AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with Large Language Models and how you’ve tackled real-world challenges in your previous roles.
Show Off Your Technical Skills:Don’t hold back on showcasing your technical prowess! Be sure to mention your command of programming languages like Python or JavaScript, and any experience you have with SQL databases. We love seeing candidates who can build and maintain production-grade software.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your past projects in detail, focusing on how you built and maintained production-grade software. This will show your technical prowess and give the interviewers confidence in your abilities.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex system integrations or AI automation challenges. Think about specific instances where you identified and resolved subtle failures, like privacy leaks or authority escalations. This will demonstrate your analytical thinking and attention to detail.
✨Familiarise Yourself with Real-World Applications
Since the role involves working with live tools and APIs, it’s a good idea to have some hands-on experience or at least knowledge of integrating agents with platforms like Supabase or Gmail. Bring up any relevant experiences during the interview to highlight your practical skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, their approach to training LLMs, or how they handle multi-turn interactions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
