Generative AI Engineer (Remote) in Northampton

Generative AI Engineer (Remote) in Northampton

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

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, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team 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 60000 - 80000 € per year.

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 Engineer (Remote) in Northampton 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 work-life balance, while offering ample opportunities for professional growth through engaging projects with leading AI organisations. Join us to be part of a team that values your expertise and encourages you to shape the future of autonomous agents in a supportive and dynamic environment.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This is your chance to demonstrate your expertise and passion for generative AI.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in this field.

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 love seeing candidates who are proactive about their job search!

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

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! Talk about the challenges you faced, how you overcame them, and the impact your work had. This helps us understand your problem-solving skills and technical expertise.

Tailor Your Application:Take a moment to tailor your application to our job description. Mention any relevant experience with multi-turn system interactions or integrating agents with live tools. This shows us that you’ve done your homework and are genuinely interested in the role.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!

How to prepare for a job interview at Outlier AI

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'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.

Showcase Your Experience

Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations, as this will show you can hit the ground running.

Demonstrate Problem-Solving Skills

Think of real-world problems you've solved using generative AI or complex systems. Be prepared to explain your thought process and how you approached these challenges, especially if they involved multi-turn interactions or integrating with live tools.

Attention to Detail is Key

During the interview, pay close attention to the questions being asked and provide clear, concise answers. If you're discussing technical feedback or system behaviours, make sure to articulate your thoughts clearly, as this reflects your ability to communicate complex ideas effectively.