At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for growth.
- Other info: Dynamic team environment focused on innovative solutions and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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 Integration Engineer (Remote) in Peterborough 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.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer (Remote) in Peterborough
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software 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 AI integration 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 related to AI and systems integration. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission to shape the future of AI agents. Your application could be just a click away!
We think you need these skills to ace AI Integration Engineer (Remote) in Peterborough
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 detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and technical prowess.
Tailor Your Application:Take a moment to customise your application for the AI Integration Engineer role. Mention how your skills align with our focus on training advanced generative systems. This shows us that you’re genuinely interested in the position and understand what we do.
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 don’t miss out on any important updates. Plus, it makes the whole process smoother for everyone involved!
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 system integration.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the projects they’re working on, like OpenClaw. This will help you articulate how your skills can contribute to shaping the future of autonomous agents and show your genuine interest in the role.
✨Prepare for Technical Challenges
Expect to tackle technical questions or challenges related to multi-turn system interactions and data handling. Practise explaining your thought process clearly, as they’ll be looking for your ability to provide high-density technical feedback on complex behaviours.
