At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- Why this job: Join us to train advanced generative systems and make a real impact in AI.
- Qualifications: 2+ years in backend engineering or AI automation, 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. 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 (Nottingham) 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 is built on continuous learning and growth, providing employees with ample opportunities to enhance their skills in cutting-edge AI technologies while working alongside industry leaders. With a focus on meaningful projects that shape the future of autonomous agents, we ensure that our team members are not only valued but also empowered to make a significant impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Agentic AI) - Remote (Nottingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with autonomous agents. Attend meetups or webinars, and don’t be shy about sliding into DMs 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 involving backend engineering or AI automation. If you’ve built anything that integrates with live tools or demonstrates your coding prowess, make sure it’s front and centre when you chat with potential employers.
✨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. We want to see how you think and solve problems, so be ready to showcase your thought process!
✨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 and take the initiative to connect directly with us. Let’s shape the future of AI together!
We think you need these skills to ace Applied AI Engineer (Agentic AI) - Remote (Nottingham)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We want to see that you’re genuinely excited about shaping the future of technology and how your skills can contribute to our mission.
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. We love seeing how your past projects align with what we do, so don’t be shy about showcasing your achievements and the technologies you've worked with.
Be Clear and Concise:We appreciate clarity! When detailing your technical skills and experiences, keep it straightforward. Use bullet points if it helps, and make sure to explain complex concepts in a way that’s easy to understand. We want to see your attention to detail!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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'll likely be asked about your experience with databases and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve had to optimise workflows or handle multi-turn interactions, as this will demonstrate your hands-on expertise.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of AI automation and backend engineering. They might ask you to explain how you would approach a particular problem or scenario, so think through some real-world challenges you’ve faced and how you resolved them.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, be prepared to discuss how you ensure quality in your work. Bring examples of how you’ve identified subtle issues in systems, like privacy leaks or authority escalations, and how you addressed them effectively.
