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 a cutting-edge team and make a real impact in AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 45000 - 55000 € 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 (Remote) (Cardiff) employer: Employer near you
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 Cardiff. 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 meaningful projects that shape the future of autonomous agents. Join us to be part of a dynamic team that values your expertise and creativity in building advanced generative systems.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Remote) (Cardiff)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and software development communities. Join relevant forums, attend meetups, or connect on LinkedIn. 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 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. Be ready to discuss your experience with languages like Python or JavaScript, and think about how you've tackled complex systems integration in the past.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace Applied AI Engineer (Remote) (Cardiff)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Applied AI Engineer. 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 hands-on experience you have with SQL databases. This helps us understand your practical abilities.
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. Remember, attention to detail matters!
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 Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific projects where you’ve had to design or optimise workflows, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since this role requires a keen eye for detail, come prepared with instances where your attention to detail made a difference. Whether it’s identifying subtle failures or providing technical feedback, having concrete examples will help you stand out.
✨Be Ready for Technical Questions
Expect some technical questions that might involve coding challenges or system design scenarios. Practise common algorithms and system architecture questions, and don’t hesitate to ask clarifying questions during the interview to show your analytical thinking.
