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 potential.
- Why this job: Join us to make a real impact on cutting-edge 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) (Bradford) in London employer: Outlier AI
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 focus on employee growth, we offer opportunities to work on cutting-edge projects that shape the future of AI, while providing a supportive environment that values creativity and technical expertise. Join us in Bradford to be part of a team that is dedicated to pushing the boundaries of autonomous agents and making a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (Remote) (Bradford) in London
✨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 integration. We want to see what you can do, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research Outlier and our projects, and think about how your experience aligns with our needs. We love candidates who come in ready to discuss how they can contribute to shaping the future of autonomous agents.
✨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. We’re excited to see what you bring to the table, so let’s make it happen!
We think you need these skills to ace Generative AI Engineer (Remote) (Bradford) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Generative AI Engineer role. Highlight your backend engineering experience and any projects related to AI automation or complex systems integration.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with LLMs or any relevant projects that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript. If you’ve worked with SQL databases or integrated agents with live tools, make sure to include those details!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being considered. It’s the easiest way for us to keep track of your application and get back to you quickly!
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 systems integration or AI automation challenges in the past. Think about specific projects where you had to design or optimise workflows, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since this role requires a keen eye for detail, come prepared with instances where your attention to detail made a difference. Whether it was identifying subtle failures or providing technical feedback, make sure you highlight these experiences.
✨Familiarise Yourself with Real-World Applications
Understand how generative AI is applied in real-world scenarios. Research tools like Supabase and Gmail, and think about how you might integrate them into your work. Showing that you can connect theory to practice will impress your interviewers!
