At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and 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 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 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.
AI Application Engineer (Remote) (City of Edinburgh) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Application 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 autonomous agents, while providing comprehensive support for professional development and a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Engineer (Remote) (City of Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or 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 with complex systems integration. Confidence is key!
✨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 AI Application Engineer (Remote) (City of Edinburgh)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Application Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Provide examples of your work with languages like Python or JavaScript, and mention any experience you have with SQL databases. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise but detailed enough to convey your impact. Use bullet points if it helps make your achievements stand out. Remember, we’re looking for outstanding attention to detail!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration in the past. This is your chance to showcase your technical prowess!
✨Showcase Real-World Experience
Prepare examples from your previous roles where you've built production-grade software or handled multi-turn system interactions. Highlight any projects where you integrated agents with live tools or solved real-world problems. Concrete examples will make you stand out!
✨Attention to Detail is Key
Since the role requires outstanding attention to detail, be prepared to discuss how you've provided clear, high-density technical feedback on complex system behaviours. Think of specific instances where your keen eye made a difference in a project.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, especially around training Large Language Models and the challenges they face. This shows your genuine interest and helps you assess if it's the right fit for you.
