At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and training advanced systems.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle complex real-world challenges.
- Why this job: Join us to influence the next generation of autonomous agents 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 Salford 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 Salford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that freelance gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. We want to see your hands-on experience, so make sure to highlight any live environments you've worked with.
✨Tip Number 3
Tailor your pitch! When reaching out to potential clients or companies, customise your message to reflect their needs. We’re all about making connections that matter, so show them how you can help solve their specific challenges.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. By applying directly, you’ll get noticed faster and have a better chance of landing that dream role as an LLM Agent Engineer.
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) in Salford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of LLM Agent Engineer. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world applications, especially in live environments. This will help us see your practical experience in action.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon unless necessary. We appreciate high-density technical feedback, so make sure your explanations are easy to understand while still being detailed.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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.
