At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Join Outlier, a leader in innovative AI solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Collaborative environment focused on innovation and real-world problem-solving.
- Why this job: Make a real impact on cutting-edge AI projects that shape tomorrow's technology.
- Qualifications: 2+ years in backend engineering with strong coding skills in Python or JavaScript.
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.
AI Software Engineer (Remote) (Glasgow City) 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, joining our team means becoming part of a forward-thinking organisation dedicated to pushing the boundaries of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer (Remote) (Glasgow City)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. We want to see your coding prowess in action, so don’t hold back!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common coding challenges and system design questions to impress your interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission to shape the future of autonomous agents.
We think you need these skills to ace AI Software Engineer (Remote) (Glasgow City)
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 at Outlier.
Showcase Your Technical Skills:Since we're looking for someone with strong programming skills, make sure to include relevant projects in your application. Whether it's Python, JavaScript, or any other language, let us know how you've used these skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your past projects in detail, focusing on how you built and maintained production-grade software. They’ll want to see your understanding of modular separation and how you’ve tackled complex systems integration.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've handled multi-turn system interactions or integrated agents with live tools. Think about real-world problems you've solved and be ready to explain your thought process. This will demonstrate your practical experience and ability to think on your feet.
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density technical feedback. Bring examples of how your attention to detail has helped identify subtle failures in previous projects. This will show that you can spot issues like privacy leaks or authority escalation before they become bigger problems.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. They might ask you to solve a problem on the spot or discuss how you would approach a specific scenario related to AI automation. Practising coding challenges or system design problems beforehand can really help you shine.
