At a Glance
- Tasks: Help 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 work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges.
- Why this job: Join a team that’s redefining AI technology and make a real impact.
- 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 AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a focus on innovative projects and collaboration with leading organisations, we offer a dynamic remote work environment that fosters creativity and professional growth. Our commitment to employee development and the opportunity to work on cutting-edge technology makes us an attractive choice for talented individuals seeking meaningful freelance opportunities.
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 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 job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
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 technical skills, be specific about the languages you know and the projects you've worked on. Mention any experience with SQL databases and multi-turn system interactions to catch our eye.
Attention to Detail is Key:We love candidates who pay attention to detail. Make sure your application is clear and free of errors. Providing high-density technical feedback examples can really set you apart from the crowd!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. 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'll likely be asked about your experience with databases and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Think of scenarios where you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on system behaviours. You might be asked to analyse a scenario or code snippet, so being precise and thorough will set you apart.
✨Familiarise Yourself with Real-World Applications
Research how autonomous agents are currently being used in various industries. Be prepared to discuss how you would approach integrating these agents with live tools and APIs, as this shows your understanding of practical applications in the field.
