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 Wolverhampton 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 empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to be part of a team that is shaping the future of autonomous agents and enjoy the unique advantage of working with leading AI organisations.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - AI Agents (Remote) in Wolverhampton
✨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 to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend engineering. Share your GitHub link when you apply through our website, so potential employers can see your coding prowess in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions that relate to AI agents and complex systems. This will help you feel confident and ready to impress during the interview process.
✨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 great opportunity to reiterate why you’re the perfect fit for the Python Engineer position.
We think you need these skills to ace Python Engineer - AI Agents (Remote) in Wolverhampton
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 detailing your past projects, be specific about the technologies you used, especially if they relate to Python, SQL, or any other major languages. We love seeing clear examples of your work and how it relates to our needs.
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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 to share specific examples of how you've built production-grade software. Think about times when you had to design modular systems or handle multi-turn interactions, and be ready to explain your thought process.
✨Get Familiar with Real-World Applications
Since the role involves integrating agents with live tools, it’s a good idea to have some examples ready. Whether it’s Supabase, Gmail, or APIs, think about how you’ve used these tools to solve real problems and be prepared to discuss them.
✨Attention to Detail is Key
Highlight your ability to provide clear technical feedback on complex system behaviours. Prepare to discuss any subtle failures you've identified in previous projects, like privacy leaks or authority escalation, and how you addressed them.
