At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- 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 us to train advanced generative systems and make a real impact in AI.
- Qualifications: 2+ years in backend engineering or AI automation, with strong coding skills.
The predicted salary is between 60000 - 80000 € 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) (London) employer: Outlier AI
Outlier is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about shaping the future of AI technology. With remote working options available, employees enjoy flexibility while collaborating with leading organisations to enhance AI systems, providing ample opportunities for professional growth and development in a cutting-edge field. Join us to be part of a team that values creativity, technical excellence, and impactful contributions to real-world solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Agent Builder - AI Systems (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and software development communities. Join relevant forums, attend meetups, or connect on LinkedIn. 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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with LLMs, complex systems integration, and any relevant tools you've used. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s shape the future together!
We think you need these skills to ace Agent Builder - AI Systems (Remote) (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Agent Builder. 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.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about shaping the future of AI agents. Share specific examples of your work with LLMs or complex systems integration to grab our attention.
Show Off Your Technical Skills:We want to see your technical prowess! Be sure to list the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. This will help us understand how you can contribute to our projects.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL databases and be prepared to explain how you've handled data parsing, logic processing, and reporting in your previous roles.
✨Demonstrate Attention to Detail
Highlight your ability to provide clear, high-density feedback on complex system behaviours. Prepare to discuss how you've identified subtle failures in past projects and what steps you took to resolve them.
