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. 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 Lancaster employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a focus on innovation and collaboration, we offer a dynamic remote work environment that fosters creativity and professional growth. Our commitment to employee development, coupled with the opportunity to work on cutting-edge projects with leading AI organisations, makes us an attractive choice for talented individuals eager to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) in Lancaster
✨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; they’ll want to see how you approach complex system behaviours.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application reflects your passion for shaping the future of autonomous agents, and highlight any relevant experience you have with multi-stage coordination tasks.
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) in Lancaster
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 showcasing your command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as specific as possible. We love details! Talk about the challenges you faced, how you overcame them, and the impact of your work. This helps us understand your problem-solving skills and attention to detail.
Tailor Your Application:Take a moment to tailor your application to our project. Mention any relevant experience with multi-turn system interactions or integrating agents with live tools. This shows us that you’re genuinely interested in the role and understand what we’re looking for.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. 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 AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex systems you've integrated or automated. Highlight specific challenges you faced and how you overcame them, especially in live environments. This will demonstrate your ability to handle multi-turn interactions effectively.
✨Be Detail-Oriented
Since attention to detail is crucial for this role, come prepared with examples of how you've provided technical feedback on system behaviours. Discuss any subtle failures you've identified in past projects and how you addressed them.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are currently being used in various industries. Be ready to discuss how you can contribute to projects like OpenClaw and integrate agents with tools like Supabase or Gmail. Showing that you understand the practical applications of your work will set you apart.
