Software Engineer - AI (Remote) (Cambridge)

Software Engineer - AI (Remote) (Cambridge)

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

At a Glance

  • Tasks: Shape the future of AI by developing advanced software for autonomous agents.
  • Company: Join a cutting-edge tech company focused on innovative AI solutions.
  • Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement potential.
  • Why this job: Make a real impact in the AI field while working with top-tier technologies.
  • Qualifications: 2+ years in backend engineering and strong coding skills in major languages.

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.

Software Engineer - AI (Remote) (Cambridge) 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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive in their careers. With a focus on meaningful projects that shape the future of autonomous agents, we offer a unique chance to contribute to groundbreaking technology from the comfort of your home in Cambridge.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - AI (Remote) (Cambridge)

Tip Number 1

Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and complex systems. We love seeing real-world applications of your work, so make sure to highlight any experience with LLMs or multi-step agents.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. We recommend practicing common algorithms and data structures, as well as being ready to discuss your past projects in detail.

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’re always on the lookout for passionate individuals who want to shape the future of AI with us.

We think you need these skills to ace Software Engineer - AI (Remote) (Cambridge)

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 with 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 About Your Experience:When you describe your past projects, be specific about the languages you've used and the environments you've worked in. We love seeing clear examples of your work with Python, JavaScript, or any other major languages.

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 attention to detail we value in our team.

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

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 you might be asked to demonstrate your understanding of databases during the interview.

Showcase Your Projects

Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will make your skills stand out!

Understand AI Workflows

Since the role involves working with AI agents, take some time to understand how they function. Familiarise yourself with concepts like multi-turn interactions and coordination tasks. This knowledge will help you answer questions more effectively and show your genuine interest in the field.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s projects, especially around their work with Large Language Models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.