At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- 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 remote environment with exciting projects and career advancement opportunities.
- Why this job: Join us to train advanced generative systems and make a real impact in AI.
- 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.
Applied AI Engineer - Agents (Remote) (Brighton) 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 Brighton. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that you can advance your skills while working on meaningful projects that shape the future of autonomous agents. Join us to be part of a dynamic team that values creativity, technical excellence, and the pursuit of groundbreaking solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Agents (Remote) (Brighton)
✨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!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agents or complex systems integration. This is your chance to demonstrate your expertise in Python, JavaScript, or any other languages you’re comfortable with.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key when discussing complex system behaviours.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI Engineer - Agents (Remote) (Brighton)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Applied AI Engineer. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Provide examples of your work with languages like Python or JavaScript, and mention any hands-on experience you have with SQL databases. This helps us understand your practical abilities.
Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise but detailed enough to convey your impact. Use bullet points if it helps make your achievements stand out. Remember, we’re looking for outstanding attention to detail!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 real-world problems using these technologies during the interview.
✨Showcase Your Experience with Complex Systems
Prepare to discuss your past projects that involved backend engineering or AI automation. Be ready to explain how you’ve built and maintained production-grade software, focusing on modular separation and multi-turn system interactions.
✨Demonstrate Attention to Detail
During the interview, highlight your ability to provide clear technical feedback on complex systems. You might be given scenarios to analyse, so practice articulating your thought process and the reasoning behind your decisions.
✨Familiarise Yourself with Real-World Applications
Research how autonomous agents work in practical settings. If you have experience integrating agents with tools like Supabase or Gmail, be prepared to share specific examples. This will show your understanding of the role and its impact on real-world problems.
