AI Workflow Engineer (Remote) in Reading

AI Workflow Engineer (Remote) in Reading

Reading Full-Time 50000 - 70000 € / 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: Join Outlier, a leader in AI innovation with a collaborative remote culture.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges and career advancement opportunities.
  • Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
  • 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 using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

AI Workflow Engineer (Remote) in Reading 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 development, joining our team means becoming part of a forward-thinking organisation 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 AI Workflow Engineer (Remote) in Reading

Tip Number 1

Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with LLMs. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.

Tip Number 3

Prepare for interviews by brushing up on technical concepts related to multi-turn system interactions and SQL databases. Be ready to discuss your experience with real-world applications and how you've tackled challenges in past projects.

Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with orchestration and complex workflows to stand out.

We think you need these skills to ace AI Workflow Engineer (Remote) in Reading

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 past projects, be specific about the technologies you used and the challenges you faced. We love a good story about how you solved a tricky problem or optimised a workflow.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. We appreciate when candidates take the time to connect their background with what we’re looking for.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

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 might be asked to solve real-world problems using these technologies during the interview.

Showcase Your Experience

Prepare specific examples from your past work that demonstrate your experience in backend engineering and AI automation. Be ready to discuss how you've built and maintained production-grade software, focusing on modular separation and complex systems integration.

Understand the Project's Goals

Familiarise yourself with Outlier’s mission and the projects they’re working on, especially around training Large Language Models. This will help you align your answers with their objectives and show that you’re genuinely interested in shaping the future of autonomous agents.

Prepare for Technical Challenges

Expect to tackle some technical challenges during the interview. Practice explaining your thought process clearly and concisely, especially when discussing multi-turn system interactions or identifying subtle failures. This will showcase your attention to detail and problem-solving skills.