Generative AI Agent Engineer (Remote) in Luton

Generative AI Agent Engineer (Remote) in Luton

Luton Full-Time 60000 - 80000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI agents by providing human feedback and training advanced generative systems.
  • Company: Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with potential to work on exciting, real-world projects.
  • Why this job: Join a cutting-edge team and make a real impact on AI technology.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 60000 - 80000 € 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 using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Generative AI Agent Engineer (Remote) in Luton employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Generative AI Agent Engineer (Remote) in Luton

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This gives us a tangible way to see what you can do.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We love candidates who can think on their feet and tackle complex system interactions.

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 looking for passionate individuals to join our team.

We think you need these skills to ace Generative AI Agent Engineer (Remote) in Luton

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, so don’t hold back on the details!

Tailor Your Application:Customise your application to reflect the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for. This helps us see how you fit into our team right from the start.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate outstanding attention to detail, so make sure your writing is free of errors and easy to read. This shows us you can communicate effectively!

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 makes the process smoother for everyone involved.

How to prepare for a job interview at Outlier AI

Know Your Tech Inside Out

Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.

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 instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and solve problems under pressure.

Highlight Attention to Detail

Since the role requires outstanding attention to detail, be ready to discuss how you've provided clear technical feedback on complex system behaviours. Bring examples of how your meticulous nature has led to successful project outcomes, especially in live environments.

Familiarise Yourself with Real-World Applications

Research how generative AI agents are currently being used in various industries. Be prepared to discuss how you would integrate these agents with live tools like Supabase or Gmail. Showing that you understand the practical applications of your work will set you apart from other candidates.