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 fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € 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 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) (Coventry) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Engineers to thrive in a remote setting while shaping the future of AI technology. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of advancements in AI and complex systems integration. Join us in Coventry and be part of a forward-thinking company that values your expertise and encourages you to make a meaningful impact in the world of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote) (Coventry) 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 backend engineering. 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 AI automation and complex systems. 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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace LLM Engineer (Remote) (Coventry) 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 complex workflows. Let us know why you’re the perfect fit!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills! Mention the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. We love seeing candidates who can build production-grade software, so make sure to include relevant projects.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s super easy and ensures your application gets to the right people. Plus, we can’t wait to see what you bring to the table!
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 might be asked to solve problems on the spot.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission and the role of LLMs in shaping autonomous agents. Being able to discuss how your skills can contribute to their projects will show your genuine interest and alignment with their goals.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Be ready to explain your thought process when tackling multi-turn system interactions or identifying subtle failures. Practising common interview questions related to these topics can give you a leg up.
