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: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment focused on solving real-world challenges.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- 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.
AI Agent Orchestration Engineer (Remote) (Cambridge) 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 AI Agent Orchestration Engineer (Remote) (Cambridge)
✨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 AI automation or backend engineering. 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 related to orchestration and multi-turn interactions. The more prepared you are, the more confident you'll feel!
✨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 AI agents.
We think you need these skills to ace AI Agent Orchestration Engineer (Remote) (Cambridge)
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 AI and orchestration. Share specific examples of your past work that align with what we're doing at Outlier, and let us know why you want to join our team.
Showcase Your Technical Skills:Since we’re looking for someone with a strong command of programming languages, make sure to mention your proficiency in Python, JavaScript, or any other relevant languages. If you've worked with SQL databases, don’t forget to include that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
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 experiences with databases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built or maintained production-grade software. Highlight any complex systems you've integrated and how you tackled challenges, especially in live environments. This will demonstrate your hands-on experience and ability to think critically.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the projects they’re working on, like OpenClaw. Being able to articulate how your skills can contribute to shaping autonomous agents will show your genuine interest and alignment with their objectives.
✨Prepare for Technical Feedback Scenarios
Since the role requires providing clear technical feedback, think of instances where you’ve had to give constructive criticism on system behaviours. Be ready to discuss how you approach these situations and ensure you convey your attention to detail.
