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 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.
GenAI Engineer (Remote) (Manchester) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing GenAI Engineers to thrive in a remote setting from Manchester. With a strong focus on employee growth, we offer opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while also providing flexibility and support for a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Engineer (Remote) (Manchester)
✨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 backend engineering or AI automation. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built.
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research Outlier and our projects, and be ready to discuss how your experience aligns with our mission. We want to see your passion for 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. Plus, we’re always on the lookout for talented individuals who are eager to join our team.
We think you need these skills to ace GenAI Engineer (Remote) (Manchester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the GenAI Engineer role. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
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 past work that align with our mission at Outlier, and let us know why you’re excited about this opportunity.
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 built production-grade software, make sure to include those details. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being considered. It’s super easy, and you’ll be able to upload your tailored CV and cover letter in one go. Let’s get your application in!
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, as well as SQL databases. Be ready to discuss your past projects in detail, focusing on how you built and maintained production-grade software.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex system integrations or AI automation challenges. Highlight any experience with multi-turn system interactions and how you approached them, as this will resonate well with the role.
✨Be Ready for Technical Feedback
Since the role involves providing high-density technical feedback, practice articulating your thoughts clearly. Think about how you can explain complex behaviours of systems you've worked on, and be prepared to discuss potential failures and how to identify them.
✨Understand the Company’s Vision
Familiarise yourself with Outlier's mission and their work with AI agents. Showing that you understand their goals and how you can contribute will set you apart. Think about how your skills align with their projects, especially in training advanced generative systems.
