At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with exciting challenges and excellent career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and work with top industry experts.
- 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) in Derby employer: Outlier
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 empowers you to thrive in a flexible environment while contributing to groundbreaking projects that shape the future of autonomous agents. With a strong focus on employee growth, we offer opportunities for continuous learning and development, ensuring that you can advance your career while making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) in Derby
✨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. Share your GitHub link when you apply through our website; it’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We love seeing how you think!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a nice touch that sets you apart from other candidates.
We think you need these skills to ace Python Engineer - AI Agents (Remote) in Derby
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 integration, so don’t hold back!
Be Specific About Your Experience:When you describe your past projects, be specific about the languages you've used and the environments you've worked in. We love seeing clear examples of your work, especially if it involves Python or SQL databases.
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Outlier
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other languages mentioned in the job description. Brush up on your knowledge of SQL databases and be ready to discuss how you've built production-grade software in the past. We recommend preparing examples that showcase your experience with modular separation and complex systems integration.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss real-world scenarios where you've tackled multi-turn system interactions or integrated agents with live tools. Think about specific challenges you faced and how you overcame them. This will demonstrate your practical experience and ability to handle complex workflows, which is crucial for the role.
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density technical feedback. During the interview, you might be asked to analyse a complex system behaviour, so practice articulating your thought process clearly. We suggest preparing a few examples where your attention to detail made a significant impact on a project.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of AI automation and orchestration. Review common algorithms, data structures, and design patterns relevant to AI agents. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might encounter.
