Generative AI Engineer (Remote) (Leeds)

Generative AI Engineer (Remote) (Leeds)

Full-Time 50000 - 70000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Help shape the future of AI by training advanced generative systems.
  • Company: Join Outlier, a leader in AI innovation and collaboration.
  • Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
  • Other info: Dynamic remote environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects with leading organisations.
  • 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: Outlier AI

Outlier is an exceptional employer that champions innovation and collaboration in the field of AI, offering a dynamic remote work environment from Leeds. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a culture of creativity and support. Join us to be part of a team that not only shapes the future of autonomous agents but also values your contributions and professional development.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

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 tech community, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to generative AI. This gives potential employers a taste of what you can do beyond what's on your CV.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to backend engineering and AI automation. Practising with a friend can help you articulate your thoughts clearly.

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, it shows you're genuinely interested in joining our team.

We think you need these skills to ace Generative AI Engineer (Remote) (Leeds)

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration. Don't hold back on showcasing your command of programming languages like Python or Java!

Be Specific:When describing your past projects, be as specific as possible. We love details! Share examples of how you’ve handled multi-turn system interactions or integrated agents with live tools. This helps us understand your hands-on experience better.

Tailor Your Application:Take a moment to tailor your application to our job description. Use the same language and keywords we’ve used. This shows us that you’re genuinely interested in the role and understand what we’re looking for.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Outlier AI

Know Your Tech Stack

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 they’ll likely ask you about database interactions during the interview.

Showcase Your Experience

Prepare to discuss your past projects that involved backend engineering or AI automation. Be ready to explain how you’ve built and maintained production-grade software, focusing on modular separation and complex systems integration.

Demonstrate Problem-Solving Skills

Think of examples where you’ve tackled real-world problems using generative AI or multi-turn system interactions. Highlight any experience you have with integrating agents and live tools, as this will show your practical knowledge.

Attention to Detail is Key

Be prepared to provide clear, high-density feedback on complex system behaviours. They’ll want to see that you can identify subtle failures and understand the intricacies of AI systems, so come equipped with examples from your previous work.