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 Huddersfield 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 empowers you to thrive in a flexible environment 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 Huddersfield
✨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 common technical questions related to backend engineering and AI automation. Practice coding challenges and be ready to discuss your past projects in detail. We love seeing how you tackle complex problems!
✨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 the interviewer's mind. 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) in Huddersfield
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 About Your Experience:When you describe your past projects, be specific about the languages you've used and the environments you've worked in. We love details, especially when it comes to your hands-on experience with live systems and multi-turn interactions.
Tailor Your Application:Take a moment to tailor your application to our project. Mention any relevant experience with LLMs or coordination tasks, and let us know how you can contribute to shaping the future of autonomous agents.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
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 scenarios where you've tackled multi-turn system interactions or integrated agents with live tools. Think about challenges you've faced and how you overcame them. This will demonstrate your practical experience and ability to handle complex workflows, which is crucial for the role.
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density technical feedback. During the interview, you might be asked to analyse a complex system behaviour, so practice articulating your thought process clearly. We suggest preparing a few examples where your attention to detail made a significant impact on a project.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of AI automation and orchestration. Review concepts related to persistent state, session discovery, and identifying subtle failures. We recommend doing mock interviews or coding challenges to get comfortable with the format and types of questions you might encounter.
