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 role with potential for significant career advancement.
- 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 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.
Agent Builder - AI Systems (Remote) in Wolverhampton 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 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 Adviceπ€«
We think this is how you could land Agent Builder - AI Systems (Remote) in Wolverhampton
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or backend engineering. This is your chance to demonstrate your expertise in building production-grade software and handling complex integrations.
β¨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AI automation and system interactions. Practice explaining your thought process clearly, as communication is key when discussing complex behaviours and solutions.
β¨Tip Number 4
Donβt forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in shaping the future of autonomous agents. Plus, it gives us a better chance to connect with you!
We think you need these skills to ace Agent Builder - AI Systems (Remote) in Wolverhampton
Some tips for your application π«‘
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 shaping the future of autonomous agents. Share specific examples of your past work that align with our mission at Outlier, and let us know why youβre excited to join our team.
Showcase Your Technical Skills:Donβt forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing practical examples of how you've built production-grade software, so include any relevant projects or achievements!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, itβs super easy!
How to prepare for a job interview at Outlier
β¨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and have examples of your work handy to showcase your expertise.
β¨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those involving complex systems integration or AI automation. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your ability to think critically and adapt.
β¨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be prepared to discuss how you ensure quality in your work. Bring examples of how you've provided clear technical feedback on system behaviours or how you've identified subtle failures in past projects.
β¨Familiarise Yourself with Real-World Applications
Understand how AI agents interact with live tools and APIs. If you have experience integrating agents with platforms like Supabase or Gmail, be ready to share those experiences. This will show that you can apply your skills to solve real-world problems effectively.