At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a fast-evolving 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 60000 - 80000 € 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) in Newport employer: Outlier AI
Outlier is an exceptional employer for those passionate about shaping the future of AI technology. With a remote work culture that promotes flexibility and collaboration, employees enjoy opportunities for professional growth while working on cutting-edge projects with leading AI organisations. The company values innovation and creativity, making it a rewarding environment for engineers eager to make a meaningful impact in the field of generative systems.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Agent Engineer (Remote) in Newport
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your past experiences in detail.
✨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 Generative AI Agent Engineer (Remote) in Newport
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and generative systems shine through. We love seeing candidates who are genuinely excited about shaping the future of autonomous agents!
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. Use specific examples that demonstrate your skills in building production-grade software and handling complex system interactions.
Be Clear and Concise:We appreciate clarity! When detailing your qualifications, keep it straightforward and avoid jargon. This helps us understand your expertise without getting lost in technical terms.
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. We can’t wait to see what you bring to the table!
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 Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with Real-World Applications
Since the role involves integrating agents with live tools, do some research on platforms like Supabase and Gmail. Be ready to discuss how you would approach solving real-world problems using these tools. This shows that you understand the practical implications of your work and can think beyond theoretical concepts.
✨Attention to Detail is Key
Highlight your attention to detail by discussing any experiences where you identified subtle failures or optimised workflows. Whether it's privacy leaks or authority escalation, being able to pinpoint these issues is crucial. Prepare to explain how you ensure quality and reliability in your projects.
