At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Dynamic team environment focused on innovative solutions and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects that shape tomorrow's technology.
- Qualifications: 2+ years in backend engineering with strong skills in Python or JavaScript.
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.
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.
Python Developer (m/f) - Remote/home based in London employer: Employer near you
At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, perfect for Python Developers looking to make a significant impact in the AI field. Our remote work environment offers flexibility and the opportunity to engage with cutting-edge technology while contributing to meaningful projects that shape the future of autonomous agents. We are committed to employee growth, providing ample opportunities for professional development and the chance to work alongside industry leaders in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer (m/f) - Remote/home based in London
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or complex systems integration. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to backend engineering and AI automation. We recommend using platforms that simulate real interview scenarios.
✨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 your application in and let’s shape the future together!
We think you need these skills to ace Python Developer (m/f) - Remote/home based in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Python Developer role. Highlight your experience with backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:Don’t just list your programming languages; show us how you’ve used them! Include specific examples of projects where you've built production-grade software or worked with SQL databases. This helps us understand your practical experience better.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point, especially when discussing your technical feedback on complex systems.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your Python and any other languages you claim to know. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll likely ask for specific examples, so have a few projects in mind that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you've solved using AI automation or complex systems integration. Think of scenarios where you had to handle multi-turn interactions or integrate agents with live tools. This will demonstrate your practical experience and ability to think critically.
✨Attention to Detail is Key
Since the role requires outstanding attention to detail, be prepared to discuss how you ensure quality in your work. Bring examples of how you’ve provided clear technical feedback on complex system behaviours, and don’t shy away from discussing any subtle failures you’ve identified in past projects.
✨Be Ready for Technical Challenges
Expect some technical challenges during the interview. They might ask you to solve a problem on the spot or walk through your thought process for a coding task. Practising common algorithms or system design questions can help you feel more confident and prepared.
