At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to impact cutting-edge technology.
- Other info: Dynamic projects with opportunities for personal and professional growth.
- Why this job: Join a team that’s redefining AI with your skills and creativity.
- 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. Do you want to shape the future of autonomous agents like OpenClaw? 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) (Aberdeen City) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home in Aberdeen City. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI, ensuring that your skills are always at the forefront of technology. Join us to be part of a team that values your expertise and creativity while shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Aberdeen City)
✨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 showcasing your projects, especially those involving backend engineering or AI automation. If you’ve built anything that integrates with APIs or handles complex workflows, make sure it’s front and centre. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, 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. Keep an eye on our listings and submit your application directly; it shows you’re genuinely interested in joining our team and makes it easier for us to find you.
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Aberdeen City)
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 About Your Experience:When detailing your past projects, focus on the specifics. Mention the languages you’ve used, the databases you’ve worked with, and any live environments you’ve built for. This helps us understand your hands-on experience better.
Attention to Detail is Key:We love candidates who pay attention to detail. Make sure your application is free from typos and clearly structured. This reflects your ability to provide high-density technical feedback, which is crucial for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Outlier AI
✨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 might be asked to demonstrate your understanding of databases during the interview.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your past work where you've built production-grade software or handled complex system interactions. Be ready to discuss how you approached challenges and what solutions you implemented, especially in live environments.
✨Demonstrate Your Attention to Detail
Since the role requires providing clear technical feedback, think of instances where your attention to detail made a difference. Whether it was catching a bug or optimising a workflow, share these stories to highlight your meticulous nature.
✨Be Ready for Problem-Solving Questions
Expect to tackle some scenario-based questions that test your ability to integrate agents with live tools or identify subtle failures. Practise explaining your thought process clearly, as this will show your analytical skills and how you approach problem-solving.
