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 and autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation, with strong coding skills.
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 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.
Applied AI Engineer (Agentic AI) - Remote (Belfast) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home in Belfast. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that you can advance your skills while working on transformative technologies that shape the future of autonomous agents. Join us to be part of a dynamic team that values your expertise and creativity in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Agentic AI) - Remote (Belfast) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨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 languages like Python or Java, and how you've tackled real-world problems using APIs. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s shape the future of AI together!
We think you need these skills to ace Applied AI Engineer (Agentic AI) - Remote (Belfast) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Applied 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! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. 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 our projects and culture 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. This will show your technical prowess and give the interviewers confidence in your abilities.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you identified subtle failures or optimised workflows. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨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 align with their goals will show that you're genuinely interested and invested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company culture and work environment are a good fit for you.
