At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising 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.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering or AI automation, strong coding skills required.
The predicted salary is between 60000 - 80000 € 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 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.
Senior AI Engineer (Remote) (City of Edinburgh) in Livingston employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior AI Engineers to thrive in a remote setting from the beautiful City of Edinburgh. With a strong focus on employee growth, we offer opportunities to work on cutting-edge projects that shape the future of AI technology, while also providing flexibility and support for a healthy work-life balance. Join us to be part of a team that values your expertise and encourages you to push the boundaries of what's possible in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote) (City of Edinburgh) in Livingston
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with autonomous agents. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and backend engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail, especially around complex systems integration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer (Remote) (City of Edinburgh) in Livingston
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in 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 and the challenges you faced. We love seeing clear examples of your work, especially if they relate to multi-turn system interactions or integrating with live tools.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the qualifications we’re looking for. Mention your experience with languages like Python or JavaScript and how it relates to our projects.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s super easy, and we’ll get your application directly into our system!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you might be asked to solve real-world problems using these technologies during the interview.
✨Showcase Your Experience with Complex Systems
Prepare to discuss your past projects that involved backend engineering or AI automation. Be ready to explain how you’ve built and maintained production-grade software, focusing on modular separation and multi-turn system interactions.
✨Demonstrate Attention to Detail
During the interview, highlight your ability to provide clear technical feedback on complex system behaviours. You might be given scenarios to analyse, so practice articulating your thought process and identifying potential issues like privacy leaks or authority escalation.
✨Be Ready for Real-World Problem Solving
Expect questions about integrating agents with live tools and APIs. Think of examples where you’ve tackled real-world challenges using these integrations, and be prepared to discuss how you implemented persistent state and session discovery to track agent progress.
