At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and training advanced systems.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- 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.
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.
Agent Builder - AI Systems (Remote) in Peterborough employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI systems. Join us to be part of a team that values your expertise and creativity while shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Agent Builder - AI Systems (Remote) in Peterborough
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems or backend engineering. This is your chance to demonstrate your expertise in building production-grade software and handling complex integrations.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems in past projects. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your relevant experience and passion for shaping the future of AI agents.
We think you need these skills to ace Agent Builder - AI Systems (Remote) in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Agent Builder role. Highlight your experience in backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills in building production-grade software.
Showcase Your Skills:When writing your application, be sure to showcase your command of programming languages like Python or JavaScript. Include specific examples of how you've used these languages in real-world scenarios, especially in complex systems integration.
Be Detail-Oriented:Attention to detail is key! Provide clear and concise technical feedback examples from your past experiences. This will demonstrate your ability to analyse complex system behaviours, which is crucial for 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 receive your application and ensures you don’t miss out on any important updates regarding your application status.
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 interactions, as this will show you can hit the ground running.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to discuss how your skills can contribute to shaping autonomous agents like OpenClaw will demonstrate your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and attention to detail. Practice explaining complex system behaviours clearly and concisely, as this will be crucial in providing high-density feedback during the interview.
