At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in the AI field.
- Why this job: Make a real impact on cutting-edge AI technology and work with top industry experts.
- 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.
Agentic AI Engineer (Remote) in Cardiff employer: Employer near you
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 promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer (Remote) in Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. We love seeing real-world applications of your work, so make sure to highlight any live environments you've built for.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. We recommend doing mock interviews with friends or using platforms that simulate the interview experience to get comfortable with the process.
✨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’re always on the lookout for passionate individuals ready to shape the future of AI agents!
We think you need these skills to ace Agentic AI Engineer (Remote) in Cardiff
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and autonomous agents! Share any personal projects or experiences that highlight your interest in this field. We love candidates who are genuinely excited about shaping the future of technology.
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. We want to see how your skills align with what we're looking for!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your technical skills and experiences. We appreciate candidates who can communicate complex ideas simply and effectively.
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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Employer near you
✨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 demonstrate your knowledge of databases during the interview.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your past work where you've 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.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might be asked to analyse a scenario, so think about how you can convey your insights clearly and concisely.
✨Familiarise Yourself with Agent Integration
If you have experience integrating agents with tools like Supabase or Gmail, make sure to highlight that. Discuss any hands-on projects where you tackled real-world problems using APIs, as this will show your practical understanding of the role.
