AI Platform Engineer (Remote) (Manchester)

AI Platform Engineer (Remote) (Manchester)

Part-Time 50000 - 70000 € / year (est.) No 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 options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects and career advancement.
  • Why this job: Join us to make a real impact in the world of autonomous agents.
  • Qualifications: 2+ years in backend engineering and strong coding skills in major languages.

The predicted salary is between 50000 - 70000 € 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 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.

AI Platform Engineer (Remote) (Manchester) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Platform Engineers to shape the future of autonomous agents from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge AI technologies, while our remote work flexibility ensures a healthy work-life balance. Join us in making a meaningful impact on the world’s most advanced generative systems, all while being part of a supportive team dedicated to excellence.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Platform Engineer (Remote) (Manchester)

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, especially those related to AI automation or backend engineering. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to complex systems integration. Practising with a friend can help you articulate your thought process clearly.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace AI Platform Engineer (Remote) (Manchester)

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, so don’t hold back!

Be Specific:When detailing your technical skills, be specific about the languages you know and the projects you've worked on. We love seeing clear examples of how you've used Python, JavaScript, or any other major language in real-world scenarios.

Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!

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 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 AI agents or multi-turn system interactions. Highlight any experience you have with integrating live tools and how you approached challenges like privacy leaks or authority escalation.

Ask Insightful Questions

Prepare thoughtful questions about the company’s projects and their approach to training Large Language Models. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.