At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 β¬ 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 β 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 Orchestration Engineer (Remote) in Newcastle upon Tyne employer: Outlier
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 work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to work on groundbreaking projects with leading AI organisations. Join us to be part of a team that values your expertise and creativity in shaping the future of autonomous agents.
StudySmarter Expert Adviceπ€«
We think this is how you could land AI Agent Orchestration Engineer (Remote) in Newcastle upon Tyne
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with multi-turn system interactions and how you've tackled complex systems integration in the past.
β¨Tip Number 4
Don't forget to apply through our website! Itβs 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 mission.
We think you need these skills to ace AI Agent Orchestration Engineer (Remote) in Newcastle upon Tyne
Some tips for your application π«‘
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration. Don't hold back on those programming languages you know!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and problem-solving skills.
Tailor Your Application:Take a moment to customise your application for the role. Mention how your experience aligns with our focus on training advanced generative systems. This shows us that you're genuinely interested in the position and understand what we're all about.
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Outlier
β¨Know Your Tech Inside Out
Make sure youβre 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 to demonstrate your understanding of databases and how they integrate with AI systems.
β¨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 youβve optimised workflows or improved system behaviours, as this will resonate well with the interviewers.
β¨Demonstrate Attention to Detail
During the interview, be ready to provide clear, concise feedback on technical scenarios. This could involve discussing potential failures or improvements in existing systems. Showing that you can think critically about complex behaviours will set you apart.
β¨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 these agents with live tools like Supabase or Gmail. This shows that you understand the practical implications of your work and can apply your skills effectively.