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 potential.
- Why this job: Join us to train advanced generative systems and make a real impact in AI.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
The predicted salary is between 50000 - 60000 € 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.
AI Agent Platform Engineer (Remote) (Southampton) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Agent Platform Engineers to thrive in a remote setting from Southampton. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of AI, alongside leading organisations in the field. Our commitment to meaningful work, coupled with a supportive environment, makes Outlier a fantastic place for those looking to make a significant impact in the world of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Platform Engineer (Remote) (Southampton)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We recommend practicing coding challenges and system design questions relevant to AI agents. The more prepared you are, the more confident you'll feel when discussing your experience with multi-turn interactions and SQL databases.
✨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’re always on the lookout for passionate individuals ready to shape the future of autonomous agents!
We think you need these skills to ace AI Agent Platform Engineer (Remote) (Southampton)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Agent Platform Engineer. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world applications, especially in live environments. We love seeing practical experience!
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate high-density technical feedback, so make sure your explanations are easy to understand while still being detailed.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 Experience with Real-World Applications
Prepare examples from your previous work where you built production-grade software or handled complex systems integration. Be ready to discuss how you approached multi-turn system interactions and what challenges you faced, as this will demonstrate your practical experience.
✨Demonstrate Your Problem-Solving Skills
Think of specific instances where you identified and resolved subtle failures in systems, such as privacy leaks or authority escalation. Sharing these experiences will highlight your attention to detail and ability to provide high-density technical feedback.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of AI automation and orchestration. Prepare to discuss how you would approach building multi-stage coordination tasks and integrating agents with live tools. This will show your enthusiasm for the role and your readiness to contribute.
