At a Glance
- Tasks: Shape the future of AI by training advanced language models 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 technology and enhance your skills.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
The predicted salary is between 50000 - 60000 € 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) (Nottingham) 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, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of technology advancements. Join us to be part of a dynamic team that values creativity and offers the flexibility of remote work from Nottingham, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) (Nottingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to LLMs or complex systems integration. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for the interview like it’s a big game! Research Outlier and our projects, and think about how your experience aligns with our needs. 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. We’re excited to see what you bring to the table!
We think you need these skills to ace LLM Integration Engineer (Remote) (Nottingham)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
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 past work that align with our mission at StudySmarter.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing candidates who can build production-grade software, so be sure to highlight relevant projects!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and we can’t wait to see your application come through!
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 system behaviours. You might want to review some past projects and be prepared to discuss any subtle failures you identified and how you resolved them.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with live tools like Supabase and Gmail. Being able to discuss practical applications and your hands-on experience will show that you're not just theoretically knowledgeable but also ready to tackle real-world problems.
