At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents with innovative projects.
- Company: Outlier, a leader in AI collaboration and feedback.
- Benefits: Freelance remote work with flexible hours and impactful projects.
- Other info: Dynamic role with opportunities to work on live systems and real-world challenges.
- Why this job: Join a cutting-edge team and make a real difference in AI technology.
- 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 Northampton 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 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 Northampton
✨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 skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. This is your chance to demonstrate your expertise and make a lasting impression on potential clients.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in what we do. Tailor your application to highlight how your experience aligns with our projects and values.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects in detail, especially how you've tackled challenges in real-world environments. Confidence is key!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) in Northampton
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 technical 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.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We want to understand your thought process and technical feedback without getting lost in complicated terms.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 might be asked to solve problems on the spot or discuss your past projects involving these technologies.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your previous work where you 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 Problem-Solving Skills
Think of scenarios where you identified subtle failures in systems, like privacy leaks or authority escalation. Be prepared to explain your thought process and how you resolved these issues, as this will show your attention to detail and critical thinking.
✨Engage with Their Vision
Research Outlier and their projects, especially around AI agents and LLMs. Show genuine interest in their mission and be ready to discuss how your skills can contribute to shaping the future of autonomous agents. This will help you stand out as a candidate who’s not just qualified but also passionate about the work.
