At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- 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 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: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Generative AI Engineers to thrive in a remote setting. With a strong focus on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of AI technology, while also offering flexibility and support for a healthy work-life balance. Join us to be part of a team that values your expertise and encourages you to push the boundaries of what's possible 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. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. We want to see your hands-on experience, so don’t be shy about sharing your GitHub or any live demos.
✨Tip Number 3
Prepare for the interview like it’s a coding challenge! Brush up on your technical knowledge and be ready to discuss your past experiences in detail. We love candidates who can articulate their thought process and problem-solving skills.
✨Tip Number 4
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 who want to shape the future of AI with us.
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!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with LLMs or any relevant projects that demonstrate your expertise. Let us know why you’re the perfect fit for our team!
Show Off Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python, JavaScript, or Go. If you've worked with SQL databases or integrated agents with live tools, make sure to include those details. We love seeing candidates who can build and maintain production-grade software!
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s super easy and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
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 solve problems on the spot.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they’re developing. Being able to discuss how your skills can contribute to shaping autonomous agents will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain your thought process when tackling multi-turn system interactions or identifying subtle failures in systems. Practice articulating your approach clearly.
