At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents with innovative projects.
- Company: Join Outlier, a leader in AI feedback and collaboration.
- Benefits: Freelance remote work with flexible hours and competitive pay.
- Other info: Dynamic role with opportunities to work on live systems and real-world challenges.
- Why this job: Make a real impact on cutting-edge AI technology and enhance your skills.
- 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 Derby 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 forward-thinking 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 Derby
✨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 shine and demonstrate your expertise in real-world applications.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely, as you’ll need to provide high-density feedback on system behaviours. Mock interviews can help you get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with multi-stage coordination tasks and integrating agents with live tools. It shows you’re serious about joining our team!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) in Derby
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love seeing clear examples of your work, especially with languages like Python or JavaScript.
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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 Real-World Applications
Research how AI agents are integrated with tools like Supabase or Gmail. Being able to discuss practical applications and your experience with APIs will show that you understand the real-world implications of your work and can contribute effectively.
