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 50000 - 70000 € 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) (London) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Python Engineers to thrive in shaping the future of AI agents from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects with leading AI organisations. Our remote-first approach ensures flexibility and work-life balance, making it an ideal environment for those passionate about technology and its impact on real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Python communities on LinkedIn or Twitter. Join relevant groups and engage in discussions to get your name out there and show off your passion for AI agents.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with backend engineering and AI automation. Share your GitHub link when you apply through our website to give us a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with multi-turn system interactions and how you've tackled complex systems integration in the past.
✨Tip Number 4
Don’t forget to follow up! After an interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role. It shows us you're genuinely interested and keeps you top of mind.
We think you need these skills to ace Python Engineer - AI Agents (Remote) (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
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 great fit for the role. We love seeing enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to mention them. We’re interested in your hands-on experience, especially with live environments and multi-turn system interactions. It helps us see your practical skills in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
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
The job requires outstanding attention to detail, so be prepared to discuss how you ensure quality in your work. We advise you to bring examples of how you’ve provided clear technical feedback on complex system behaviours. This will show that you can communicate effectively and maintain high standards.
✨Ask Insightful Questions
Interviews are a two-way street, so don’t forget to prepare some thoughtful questions about the company’s projects and future direction. We suggest asking about their approach to training Large Language Models or how they handle privacy concerns. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
