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 role with potential for significant 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 - 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 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) (Oxford) in Cowley 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 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 to be part of a dynamic team that values creativity and offers the flexibility of remote work, all while contributing to groundbreaking projects with leading AI organisations.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote) (Oxford) in Cowley
✨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 related to LLMs or backend engineering. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research Outlier and our projects, and be ready to discuss how your experience aligns with our goals. We want to see your passion for shaping the future of AI agents!
✨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 talent that can help us push the boundaries of AI technology.
We think you need these skills to ace LLM Engineer (Remote) (Oxford) in Cowley
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:In your application, don’t just list your skills—show us how you've used them! Provide examples of your work with Python, JavaScript, or any other languages you know. We love seeing practical applications of your expertise, especially in live environments.
Be Clear and Concise:When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, so make sure to articulate your thoughts without unnecessary fluff. This is your chance to impress us with your attention to detail!
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 shows us you're keen on joining our team 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 knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration in the past. This is your chance to showcase your technical prowess!
✨Showcase Real-World Experience
Prepare examples from your previous roles where you've built production-grade software or handled live environments. Talk about specific projects where you’ve integrated agents with tools like Supabase or Gmail, and how you solved real-world problems. Concrete examples will make you stand out!
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density feedback on complex system behaviours. Discuss any experiences where your attention to detail helped identify subtle failures or improve system performance. This will demonstrate your critical thinking skills and commitment to quality.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice explaining your thought process when tackling multi-turn system interactions or implementing persistent state. Showing how you approach problem-solving can really impress the interviewers!
