At a Glance
- Tasks: Shape the future of AI agents and optimise complex workflows.
- Company: Innovative company at the forefront of AI technology.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join a team that’s redefining AI and make a real impact.
- Qualifications: 2+ years in backend engineering and 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. Do you want to shape the future of autonomous agents like OpenClaw? 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 (Agentic AI) - Remote (City of Edinburgh) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote team, based in the vibrant City of Edinburgh, enjoys a flexible work culture that prioritises employee well-being and professional growth, offering opportunities to work on cutting-edge projects with leading AI organisations. Join us to be part of a dynamic environment where your contributions directly shape the future of autonomous agents, all while enjoying the unique advantages of working in a city renowned for its rich history and thriving tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Agentic AI) - Remote (City of Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with autonomous agents. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to AI automation or backend engineering. This gives us a tangible way to see what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We love candidates who can think on their feet and tackle real-world challenges head-on.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI.
We think you need these skills to ace Applied AI Engineer (Agentic AI) - 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 shaping the future of autonomous agents. Share specific examples of your work with LLMs or multi-stage coordination tasks to grab our attention.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing candidates who can build and maintain production-grade software, so make sure to highlight relevant projects!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
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 problems on the spot.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your experience with backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Think about how your skills can contribute to training advanced generative systems and be prepared to share your thoughts during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the projects you'll be working on. This shows your genuine interest and helps you gauge if the company is the right fit for you. Consider asking about their approach to multi-stage coordination tasks or how they handle privacy concerns.
