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 team 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 50000 - 70000 € 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) (Oxford) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive as they contribute to groundbreaking projects. Join us in Oxford and be part of a dynamic environment where your expertise will directly impact the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) (Oxford)
✨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 related to AI and backend engineering. This is your chance to demonstrate your expertise in Python and complex systems integration. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with multi-turn system interactions and how you've tackled real-world problems. Practise explaining your thought process clearly; it’s all about showing your attention to detail!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Python Engineer - AI Agents (Remote) (Oxford)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Python Engineer role. Highlight your experience with 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:In your cover letter, be sure to showcase your command of programming languages like Python or JavaScript. Give examples of how you've used these skills in real-world scenarios, especially in complex systems integration.
Be Detail-Oriented:Attention to detail is key! When describing your past experiences, focus on providing clear and concise technical feedback on system behaviours. This will demonstrate your ability to handle multi-turn interactions effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
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 you’ve listed in your CV. Be ready to discuss specific projects where you've built production-grade software, especially those involving complex systems integration. They’ll want to see your technical depth!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world problems using AI automation or backend engineering. Think about situations where you had to optimise workflows or handle multi-turn interactions. This will demonstrate your practical experience and ability to think critically.
✨Be Ready for Technical Feedback
Since the role involves providing 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 give constructive feedback is key. Show them you can communicate complex ideas effectively!
✨Understand Their Projects
Familiarise yourself with Outlier's work on AI agents and Large Language Models. Knowing their projects, like OpenClaw, will help you connect your skills to their needs. It shows genuine interest and that you’re proactive about understanding their mission.
