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 remote culture.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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 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.
Generative AI Engineer (Remote) (Leeds) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Generative AI Engineers to shape the future of autonomous agents from the comfort of their own homes in Leeds. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects alongside leading AI organisations, ensuring that your contributions have a meaningful impact on the development of advanced generative systems. Our commitment to flexibility and remote working options makes us an attractive choice for those seeking a rewarding career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (Remote) (Leeds)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. A friendly chat 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 complex systems. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend engineering and AI automation. We want to see how you think through problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Generative AI Engineer (Remote) (Leeds)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Generative AI Engineer role. 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! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience and technical prowess.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. 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 our projects and culture at StudySmarter.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex system integrations or AI automation challenges in the past. Think about specific projects where you had to design workflows or coordinate tasks, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
Since this role requires a keen eye for detail, come prepared with examples of how you've provided technical feedback on system behaviours. Highlight any experiences where your attention to detail made a significant impact on a project.
✨Familiarise Yourself with Real-World Applications
Understand how generative AI systems work in real-world scenarios. Research tools like Supabase and Gmail, and think about how you might integrate these with agents. Showing that you can connect theory to practice will impress them!
