At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents with innovative projects.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Freelance flexibility, remote work, and the chance to work on cutting-edge technology.
- Other info: Dynamic role with opportunities for growth and hands-on experience with live tools.
- Why this job: Make a real impact in the AI field while working with top-tier organisations.
- 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 MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
LLM Agent Engineer (Freelance, Remote) in Manchester employer: Outlier
At Outlier, we pride ourselves on being at the forefront of AI innovation, offering a dynamic and collaborative work environment that empowers our freelance LLM Agent Engineers to make a significant impact. With a strong focus on employee growth, we provide opportunities for continuous learning and development while working remotely, allowing you to balance your professional aspirations with personal commitments. Join us to be part of a team that values creativity, technical excellence, and the drive to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who are already working with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects related to backend engineering and AI automation. Include any cool stuff you've built with Python, JavaScript, or other languages. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with complex systems integration and how you’ve tackled real-world problems. Practise explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your relevant experience and passion for shaping the future of autonomous agents. Let’s get you on board!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the LLM Agent 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 understand your hands-on experience.
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:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter and how you can contribute!
How to prepare for a job interview at Outlier
✨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'll likely need to discuss how you’ve used these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex systems you've worked on, especially those involving multi-turn interactions. Be ready to explain how you approached challenges and what solutions you implemented, as this will demonstrate your hands-on experience.
✨Highlight Your Attention to Detail
Since the role requires providing clear technical feedback, think of instances where your attention to detail made a difference. Discuss how you identified subtle failures or optimised workflows, as this will resonate with their focus on high-density technical feedback.
✨Familiarise Yourself with Their Projects
Research Outlier and their projects, particularly around AI agents and LLMs. Understanding their work will not only help you answer questions more effectively but also show your genuine interest in contributing to their mission.
