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 options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and 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 45000 - 55000 € 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) (Bradford) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Python Engineers to contribute to groundbreaking AI projects from the comfort of their homes in Bradford. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge technologies, while our commitment to meaningful work ensures that every team member plays a vital role in shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) (Bradford)
✨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. Share it during interviews or even in your online profiles to grab attention.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and system design questions, and don’t forget to review how to explain your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Engineer - AI Agents (Remote) (Bradford)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Python Engineer. 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.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI agents and how your background makes you a perfect fit for our team. Be sure to mention specific technologies you’ve worked with that align with our needs.
Showcase Your Technical Skills:When filling out your application, be sure to highlight your command of programming languages like Python and your experience with SQL databases. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back!
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 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 mentioned in the job description. Be ready to discuss your past projects, especially those involving backend engineering and AI automation. We recommend preparing specific examples that showcase your experience with complex systems integration.
✨Showcase Your Problem-Solving Skills
Since the role involves training AI agents, think of scenarios where you've tackled real-world problems using technology. We suggest preparing a few stories that highlight how you’ve built or maintained production-grade software, especially focusing on multi-turn system interactions and data handling.
✨Be Ready for Technical Questions
Expect some technical questions that dive deep into your understanding of SQL databases and modular software design. We advise practising coding challenges or system design questions related to the job. This will help you articulate your thought process clearly during the interview.
✨Demonstrate Attention to Detail
Given the emphasis on providing clear technical feedback, be prepared to discuss how you ensure quality in your work. We suggest thinking about examples where your attention to detail made a significant difference, such as identifying subtle failures or optimising workflows.
