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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Join us to train advanced generative systems and make a real impact in AI.
- Qualifications: 2+ years in backend engineering and strong skills in Python or JavaScript.
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.
Python Engineer - AI Agents (Remote) (London) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Python Engineers to thrive in shaping the future of AI agents from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects with leading AI organisations. Join us in a remote role that not only offers competitive benefits but also the chance to make a meaningful impact in the world of autonomous systems.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) (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 and AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI. Practice explaining your thought process clearly, as communication is key when discussing complex system behaviours.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight your experience with multi-stage coordination tasks and integrating agents with live tools.
We think you need these skills to ace Python Engineer - AI Agents (Remote) (London)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems, so don’t hold back!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of your work, especially when it comes to multi-turn system interactions and integrating with live tools.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the Python Engineer role.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your Python and any other languages mentioned in the job description. Be ready to discuss your past projects, especially those involving AI automation or complex systems integration. We recommend preparing specific examples that showcase your skills in building production-grade software.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios related to multi-turn system interactions. Think about how you would approach real-world problems using AI agents. We suggest practising with common challenges in the field, so you can demonstrate your analytical thinking and creativity.
✨Highlight Attention to Detail
Since the role requires outstanding attention to detail, be ready to discuss how you've provided clear technical feedback in previous roles. We recommend bringing examples of how your meticulousness has led to improved outcomes in your projects, especially when dealing with complex system behaviours.
✨Familiarise Yourself with Relevant Tools
If you have experience with tools like Supabase, Gmail, or APIs, make sure to mention it! We suggest doing a bit of research on how these tools can integrate with AI agents. Being able to discuss your hands-on experience will show that you're not just familiar with the theory but also know how to apply it in practice.
