At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- Company: Join Outlier, a leader in innovative AI solutions with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with excellent career advancement opportunities.
- Why this job: Make a real impact on cutting-edge AI technology and work with top industry experts.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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 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 (Birmingham) 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 Birmingham. 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 (Birmingham) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. A personal connection can make all the difference when it comes to landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨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 Applied AI Engineer (Agentic AI) - Remote (Birmingham) in London
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 past work that align with our mission at StudySmarter.
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 production-grade software, so make sure to highlight relevant projects!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and we can’t wait to see your application come through!
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 or discuss your past projects involving these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Think about how you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, practice articulating your thoughts clearly. You might be asked to review a piece of code or a system design, so being able to pinpoint subtle issues will impress your interviewers.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are currently being used in various industries. Be prepared to discuss how you would approach integrating agents with live tools like Supabase or Gmail, and think about potential real-world problems you could help solve.
