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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- 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.
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 Lancaster employer: Outlier
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 promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) in Lancaster
✨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 chatting with potential employers; it’s a great way to demonstrate your expertise and passion.
✨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 projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with complex systems integration and multi-turn interactions to stand out.
We think you need these skills to ace Python Engineer - AI Agents (Remote) in Lancaster
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 integration, so don’t hold back!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of your work with Python or other languages, especially in live environments. Specifics help us understand your expertise better!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for shaping the future of AI agents.
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at Outlier
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other languages mentioned in the job description. Brush up on your knowledge of SQL databases and be ready to discuss how you've built production-grade software in the past. We recommend preparing specific examples that showcase your experience with modular separation and complex systems integration.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss real-world problems you've solved using AI automation or backend engineering. Think about instances where you’ve had to handle multi-turn system interactions or integrate agents with live tools. We suggest framing your answers around the challenges you faced, the actions you took, and the results you achieved.
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density technical feedback on complex system behaviours. During the interview, you might be asked to analyse a scenario or a piece of code, so practice articulating your thought process clearly. We believe that demonstrating your attention to detail can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of AI agents and their functionalities. Familiarise yourself with concepts like persistent state, session discovery, and identifying subtle failures. We recommend doing some mock interviews or coding challenges to get comfortable with the format and types of questions you might encounter.
