At a Glance
- Tasks: Help shape the future of AI agents by providing human feedback and training advanced systems.
- Company: Join Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and 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 or AI automation; strong coding 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 Manchester 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 empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to be part of a team that is shaping the future of autonomous agents and enjoy the unique advantage of working with leading AI organisations.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) in Manchester
✨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. Share it on platforms like GitHub and make sure it's 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 backend engineering and complex systems integration. Practice coding challenges that focus on multi-turn interactions and data handling.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight your experience with live environments and your attention to detail in providing technical feedback.
We think you need these skills to ace Python Engineer - AI Agents (Remote) in Manchester
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We love seeing candidates who are genuinely excited about shaping the future of technology, so share any relevant projects or experiences that highlight your passion!
Tailor Your Experience:Make sure to customise your application to reflect how your skills align with our needs. Highlight your experience in backend engineering and complex systems integration, and don’t forget to mention your proficiency in Python or other major languages we’re looking for.
Be Clear and Concise:We appreciate clarity! When detailing your past experiences, focus on being straightforward and to the point. Use bullet points if necessary to make it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 your experience with backend engineering and AI automation, as well as how you've tackled complex systems integration in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've built production-grade software. Highlight instances where you’ve designed modular systems or handled multi-turn interactions, as this will demonstrate your ability to think critically and solve real-world problems.
✨Get Familiar with Their Projects
Research Outlier and their work with AI agents. Understanding their projects, like OpenClaw, will help you align your answers with their goals and show that you're genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about their current challenges or future projects. This not only shows your enthusiasm but also gives you a chance to demonstrate your knowledge about integrating agents with live tools and handling data privacy issues.
