At a Glance
- Tasks: Shape the future of AI by training advanced generative systems with innovative projects.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
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.
Applied AI Engineer (Remote) (City of Edinburgh) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, providing employees with opportunities to work on cutting-edge AI projects that shape the future of technology. With a focus on employee well-being and a commitment to meaningful work, we ensure that our team members feel valued and empowered in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Remote) (City of Edinburgh)
✨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 AI automation or complex systems integration. This is your chance to demonstrate your expertise in building production-grade software and handling multi-turn interactions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with backend engineering and SQL databases. Practice explaining your thought process when tackling complex problems, as clear communication is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s shape the future of AI together!
We think you need these skills to ace Applied AI Engineer (Remote) (City of Edinburgh)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention specific projects or technologies you've worked with that relate to what we do.
Showcase Your Technical Skills:When applying, be sure to highlight your proficiency in programming languages like Python or JavaScript. If you’ve built production-grade software or worked with SQL databases, let us know! We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the specifics of their projects, like training Large Language Models. Being able to discuss how your skills can contribute to shaping autonomous agents will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current challenges or future projects. This not only shows your enthusiasm but also gives you a chance to demonstrate your understanding of multi-stage coordination tasks and how they relate to real-world applications.
