At a Glance
- Tasks: Shape the future of AI by training advanced language models and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Freelance flexibility, remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on cutting-edge projects and technologies.
- Why this job: Be at the forefront of AI technology and make a real impact on autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 40000 - 50000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? 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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
LLM Agent Engineer (Freelance, Remote) (Sheffield) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home in Sheffield. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI, making it a rewarding place for those passionate about shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Sheffield)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or backend engineering. We love seeing real-world applications of your work, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AI automation and system integration. We recommend practicing coding challenges and discussing your thought process out loud to impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI agents.
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Sheffield)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the LLM Agent Engineer role. Highlight your experience in backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills with languages like Python or JavaScript.
Showcase Your Experience:We want to see your hands-on experience! Include specific examples of how you've built production-grade software and handled complex system interactions. This will help us understand your practical knowledge and attention to detail.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate clarity, especially when it comes to complex topics!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 system integrations or AI automation challenges. Think of scenarios where you had to design workflows or optimise processes, 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 in your explanations 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 integrate these agents with live tools like Supabase or Gmail, and think about potential challenges you might face in real-world applications.
