At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and training advanced generative systems.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on exciting, real-world projects.
- Why this job: Join a cutting-edge team and make a real impact 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.
Generative AI Agent Engineer (Remote) (Oxford) employer: Outlier AI
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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive in their careers. With a focus on meaningful projects and a commitment to shaping the future of autonomous agents, we offer a unique environment where your contributions truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Agent Engineer (Remote) (Oxford)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems integration.
✨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 using SQL databases. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to shaping the future of autonomous agents.
We think you need these skills to ace Generative AI Agent Engineer (Remote) (Oxford)
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and generative systems! Share any personal projects or experiences that highlight your interest in the field. This will help us understand why you're a great fit for our team.
Tailor Your Application:Make sure to customise your CV and cover letter to match the job description. Highlight your relevant experience in backend engineering and complex systems integration, so we can easily see how you meet our needs.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your technical skills shine through without overwhelming us with unnecessary details.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it helps us keep everything organised!
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 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 systems integration. Be ready to discuss how you approached multi-turn system interactions and what challenges you faced while working in live environments.
✨Demonstrate Your Problem-Solving Skills
Think of specific instances where you identified subtle failures in systems, like privacy leaks or authority escalation. Discuss how you tackled these issues and what strategies you used to ensure robust performance in your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to training AI agents. This shows your genuine interest in the role and helps you understand how you can contribute to their goals, especially regarding multi-stage coordination tasks.
