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 remote culture.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic projects with leading AI organisations and excellent career advancement opportunities.
- Why this job: Be at the forefront of generative AI and make a real impact on technology.
- Qualifications: 2+ years in backend engineering or AI automation, strong coding skills, and attention to detail.
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.
Generative AI Agent Engineer (Remote) in Gloucester 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 work-life balance, while offering ample opportunities for professional growth through engaging projects with leading AI organisations. Join us to be part of a team that values your expertise and creativity, as we shape the future of autonomous agents together.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Agent Engineer (Remote) in Gloucester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems with multi-turn system interactions. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight your experience with generative systems and complex workflows, and let us know why you're excited about shaping the future of AI agents.
We think you need these skills to ace Generative AI Agent Engineer (Remote) in Gloucester
Some tips for your application 🫡
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 showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for the Generative AI Agent Engineer role. Use keywords from the job description and relate your past experiences to the specific qualifications we're looking for. This helps us see why you're the perfect fit!
Be Clear and Concise:When writing your application, clarity is key! We appreciate well-structured responses that get straight to the point. Avoid jargon unless it's necessary, and make sure your passion for AI shines through in your writing.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Outlier AI
✨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 Go, and how you've used them in real-world projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with Real-World Applications
Since the role involves integrating agents with live tools, it’s a good idea to have some knowledge about platforms like Supabase or Gmail. If you’ve worked with APIs before, be ready to discuss how you’ve solved real-world problems using these integrations. This shows you understand the practical side of the technology.
✨Attention to Detail is Key
Highlight your attention to detail by discussing how you’ve identified subtle failures in previous projects, such as privacy leaks or authority escalation. Being able to articulate these experiences will show that you can maintain high standards in your work and are capable of providing clear feedback on complex system behaviours.
