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 Wolverhampton employer: Outlier
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to be part of a team that is shaping the future of autonomous agents and enjoy the flexibility and support that comes with working in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on freelance gigs or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with backend engineering and AI automation. Include links to any relevant code repositories or live demos to give potential clients a taste of what you can do.
✨Tip Number 3
Tailor your pitch! When reaching out to companies, make sure to customise your message to highlight how your skills align with their needs. Mention specific projects or technologies they use to show you've done your homework.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, it helps us get to know you better right from the start!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) in Wolverhampton
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. Don't hold back on those programming languages you know!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and expertise.
Attention to Detail is Key:We appreciate candidates who can provide high-density technical feedback. Make sure your application is free from typos and clearly structured. This shows us that you pay attention to the little things, which is crucial for the role.
Apply Through Our Website:We encourage you 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. Plus, it’s super easy!
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 show your capability in maintaining high standards.
✨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 set you apart, showing that you understand the bigger picture of how these systems operate.
