At a Glance
- Tasks: Help shape the future of AI agents by providing human feedback and training advanced systems.
- 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 opportunities.
- Why this job: Join a cutting-edge team and make a real impact on AI technology.
- Qualifications: 2+ years in backend engineering or AI automation, strong coding skills required.
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. Do you want to shape the future of autonomous agents like OpenClaw? 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.
- 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 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.
Agent Builder - AI Systems (Remote) (Cambridge) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to shape the future of AI technology from the comfort of their own homes. With a focus on professional growth, team members are encouraged to expand their skills in backend engineering and complex systems integration while working on cutting-edge projects with leading AI organisations. The remote nature of this role offers flexibility and a unique opportunity to contribute to meaningful advancements in autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Agent Builder - AI Systems (Remote) (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems and backend engineering. This is your chance to demonstrate your expertise and passion for the field, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your past experiences with complex systems integration. Confidence is key!
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Agent Builder - AI Systems (Remote) (Cambridge)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for 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 with LLMs.
Showcase Your Technical Skills:We want to see your command of programming languages like Python or JavaScript. Include specific examples of how you've built production-grade software and handled complex system interactions in your application.
Be Detail-Oriented:Attention to detail is key! When describing your past experiences, focus on providing clear, high-density feedback on technical challenges you’ve faced. This will show us you can handle the complexities of our projects.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity to shape the future of AI agents.
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 about your experience with databases and how you’ve used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, practice articulating your thoughts clearly. You might be asked to review a piece of code or a system design, so being able to pinpoint subtle issues and suggest improvements will impress your interviewers.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are currently being used in various industries. Be prepared to discuss how you would integrate these agents with live tools like Supabase or Gmail, and think about potential challenges you might face in real-world applications.
