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 challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and work with top tech organisations.
- Qualifications: 2+ years in backend engineering and strong skills in Python or JavaScript.
The predicted salary is between 45000 - 55000 € 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) (Liverpool) 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 Liverpool 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) (Liverpool)
✨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 interviews by brushing up on your technical knowledge. Be ready to discuss your experience with backend engineering and complex systems integration. Practise coding challenges and system design questions to impress the interviewers.
✨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 their minds. Plus, it’s a chance to reiterate why you’re the perfect fit for the team.
We think you need these skills to ace Python Engineer - AI Agents (Remote) (Liverpool)
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.
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 or projects that align with what we do at Outlier.
Showcase Your Technical Skills:We want to see your technical prowess! Include examples of your work with Python, JavaScript, or any other languages you’re proficient in. If you’ve integrated agents with live tools or tackled complex system interactions, make sure to highlight those experiences.
Apply Through Our Website:Don’t forget to apply 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 our projects and culture!
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 examples of how you've built production-grade software and handled multi-turn system interactions. Think about specific challenges you've faced and how you overcame them, especially in live environments.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of SQL databases and modular software design. Practise explaining your thought process clearly, as they’ll want to see how you approach technical problems.
✨Demonstrate Attention to Detail
Highlight your ability to provide clear, high-density feedback on complex system behaviours. Bring examples of your work where attention to detail made a significant difference, especially in identifying subtle failures or optimising workflows.
