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 potential.
- 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) (Glasgow City) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior AI Engineers to shape the future of autonomous agents from the comfort of their own homes in Glasgow City. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects alongside leading AI organisations, ensuring that your contributions have a meaningful impact on the development of advanced generative systems. Our commitment to flexibility and remote working options makes us an attractive choice for those seeking a rewarding career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote) (Glasgow City)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering 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 involving AI automation or complex systems integration. This is your chance to demonstrate your expertise beyond just a CV.
✨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 backend engineering and LLMs.
✨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) (Glasgow City)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI 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! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience and technical prowess.
Be Clear and Concise:We appreciate clarity! When describing your past experiences, keep it concise but informative. Use bullet points if necessary to make it easy for us to read through your achievements and contributions without getting lost in lengthy paragraphs.
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 StudySmarter and what we stand for!
How to prepare for a job interview at Employer near you
✨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 built production-grade software. They’ll want to hear about specific projects where you’ve tackled complex systems integration.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve real-world problems using AI agents. Think about times when you’ve integrated tools like Supabase or Gmail into your projects. Being able to articulate how you approached these challenges will set you apart.
✨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be ready to discuss how you provide clear technical feedback on system behaviours. Bring examples of how you’ve identified subtle failures in past projects, such as privacy leaks or authority escalation.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in their projects. Inquire about their work with Large Language Models or how they approach multi-stage coordination tasks. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
