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 remote culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on exciting, real-world AI challenges.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering and strong coding skills in major programming 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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
LLM Integration Engineer (Remote) (Manchester) 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 from Manchester. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while also offering competitive benefits and a supportive environment that values creativity and technical expertise.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) (Manchester)
✨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 involving LLMs or complex systems integration. We love seeing real-world applications of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. We recommend practicing coding challenges and discussing your thought process out loud to demonstrate your problem-solving skills.
✨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 passionate individuals ready to shape the future of autonomous agents.
We think you need these skills to ace LLM Integration Engineer (Remote) (Manchester)
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!
Showcase Your Skills:When writing your application, don't just list your skills—show us how you've used them! Include specific examples of projects where you've built production-grade software or worked with major programming languages like Python or JavaScript. This helps us see your practical experience in action.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. This will help us quickly grasp your qualifications and fit for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
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 optimised workflows, and be ready to explain your thought process during those situations.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, come prepared with examples that highlight your ability to provide clear technical feedback. Discuss how you've identified subtle failures in past projects and what steps you took to resolve them.
✨Familiarise Yourself with Real-World Applications
Research how LLMs are being integrated into live environments. Be ready to discuss any hands-on experience you have with tools like Supabase or APIs, and think about how you can apply that knowledge to the projects at Outlier.
