At a Glance
- Tasks: Help shape the future of AI by developing and optimising complex systems.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for growth.
- Other info: Dynamic team environment focused on innovative solutions and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects that influence the future.
- Qualifications: 2+ years in backend engineering with strong skills in Python and SQL.
The predicted salary is between 50000 - 60000 € 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 AWS Engineer - Remote in Aberdeen 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 promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to work on cutting-edge projects that shape the future of autonomous agents. Join us to be part of a dynamic team where your contributions are valued and your career can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Python AWS Engineer - Remote in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with multi-turn system interactions. We want to see how you tackle challenges, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to shape the future of AI with us.
We think you need these skills to ace Python AWS Engineer - Remote in Aberdeen
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Python AWS Engineer. Highlight your experience in backend engineering and any relevant projects that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've built production-grade software and handled multi-turn system interactions. This will help us see your practical experience in action.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We want to understand your thought process and technical feedback without getting lost in complicated terms.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other languages mentioned in the job description. Brush up on your SQL skills too, as they’ll likely ask you about database interactions. Be ready to discuss your past projects and how you’ve used these technologies to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex system integrations or AI automation challenges. Think about specific instances where you built production-grade software and how you ensured modular separation. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to discuss how your skills can contribute to training advanced generative systems will show that you’re genuinely interested in the role and the company’s vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the tools they use for integration. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your knowledge about multi-stage coordination tasks and agent integration.
