At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and optimising complex workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Make a real impact on cutting-edge AI technology and work with top organisations.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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 - Agents (Remote) in Doncaster 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 work culture promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Agents (Remote) in Doncaster
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agents 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 interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with backend engineering and AI automation.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Applied AI Engineer - Agents (Remote) in Doncaster
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and complex systems! In your application, share why you're excited about shaping the future of autonomous agents. A personal touch can really make you stand out.
Highlight Relevant Experience:Make sure to showcase your 2+ years of experience in backend engineering or AI automation. We want to know how your skills align with our needs, so be specific about your past projects and achievements.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
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’s super easy to do!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and technologies mentioned in the job description. Brush up on Python, JavaScript, or Go, and be ready to discuss your experience with SQL databases. We recommend preparing examples of projects where you’ve used these skills effectively.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled complex systems integration or AI automation challenges in the past. We suggest thinking of specific instances where you designed workflows or optimised processes, as this will demonstrate your hands-on experience and ability to think critically.
✨Prepare for Technical Questions
Expect questions that dive deep into your technical knowledge, especially around multi-turn system interactions and production-grade software. We advise practising coding problems or system design scenarios that relate to the role, so you can showcase your expertise confidently.
✨Highlight Attention to Detail
Since the role requires providing clear technical feedback, be ready to discuss how you ensure accuracy in your work. We suggest preparing examples where your attention to detail made a significant impact, such as identifying subtle failures or improving system behaviours.
