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 collaborative remote culture.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic projects with excellent career advancement opportunities.
- 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 - 60000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? 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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
Python Engineer - AI Agents (Remote) (Leeds) in Garforth 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 both personally and professionally. Join us in shaping the future of autonomous agents and enjoy the unique advantage of working with leading AI organisations from the comfort of your home in Leeds.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) (Leeds) in Garforth
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Python communities on LinkedIn or Twitter. Join relevant groups, attend virtual meetups, and don’t be shy about sliding into DMs to ask for advice or insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agents or complex systems. This is your chance to demonstrate your expertise in Python and other languages, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend engineering and AI automation. Practice coding challenges and be ready to discuss your past experiences with real-world applications.
✨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 take that extra step to connect directly with us.
We think you need these skills to ace Python Engineer - AI Agents (Remote) (Leeds) in Garforth
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!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to training AI agents or working with LLMs. It’ll show us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your technical feedback examples are easy to understand and demonstrate your attention to detail.
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 get you into our system quickly. We can’t wait to hear from you!
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
Since the role involves working with multi-turn system interactions, think of scenarios where you've tackled complex problems. We suggest preparing a couple of stories that highlight how you’ve integrated agents with live tools or solved real-world issues using APIs. This will demonstrate your practical experience and ability to think critically.
✨Attention to Detail is Key
Given the emphasis on providing clear technical feedback, we advise you to prepare for questions that assess your attention to detail. Consider discussing instances where you identified subtle failures or improved system behaviours. This will show that you can handle the intricacies of complex systems effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company’s projects, especially around their work with AI agents. We encourage you to inquire about their approach to training Large Language Models and how they tackle challenges in orchestration. This not only shows your interest but also helps you gauge if the company is the right fit for you.
