At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive pay, 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.
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.
- 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 Integration Engineer (Remote) (Oxford) in Cowley employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Integration Engineers to thrive in a remote setting while contributing to groundbreaking AI projects. With a strong emphasis on employee growth, Outlier offers opportunities for professional development and the chance to work alongside leading AI organisations, making it an ideal place for those passionate about shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration 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 help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. We want to see what you can do, so make sure it’s easy for us to find your work online.
✨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 needs. We love candidates who are genuinely excited about what we do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team and contributing to the future of autonomous agents.
We think you need these skills to ace LLM Integration Engineer (Remote) (Oxford) in Cowley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the LLM Integration 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!
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 LLMs or similar technologies, and let us know how you can contribute to our mission at Outlier.
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 and maintain production-grade software, so make that clear!
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 upload your tailored CV and cover letter directly. 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 backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration challenges. Think about specific instances where you built production-grade software or handled multi-turn system interactions, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might want to prepare a few scenarios where you identified subtle failures or optimised workflows, as this will show your keen eye for detail.
✨Familiarise Yourself with Real-World Applications
Research how AI agents like OpenClaw operate and think about how your skills can contribute to improving them. Being able to discuss live tools and APIs you've worked with will demonstrate your hands-on experience and readiness to tackle real-world problems.
