At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
Agentic AI Engineer (Remote) (London) employer: Employer near you
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility from London. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology and contribute to transformative projects that shape the future of autonomous agents. Our inclusive work culture fosters creativity and encourages team members to share their insights, making it a rewarding environment for those passionate about AI and complex systems integration.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and 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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems. This is your chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with backend engineering and multi-turn system interactions.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Agentic AI Engineer (Remote) (London)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We love seeing candidates who are genuinely excited about shaping the future of technology!
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. Use specific examples that demonstrate your skills in building production-grade software and working with complex systems.
Be Clear and Concise:We appreciate clarity! When detailing your technical skills and experiences, keep it straightforward and to the point. Avoid jargon unless it's necessary, and make sure your application is easy to read.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Employer near you
✨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 identified subtle failures or improved system behaviours. This will demonstrate your analytical thinking and attention to detail, which are crucial for this role.
✨Familiarise Yourself with Real-World Applications
Since the role involves working with live tools like Supabase and Gmail, it’s a good idea to understand how these integrations work. Be ready to discuss any hands-on experience you have with APIs and how you've solved real-world problems using them. This will highlight your practical knowledge and readiness for the job.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company's projects and future direction. Inquire about their approach to training Large Language Models or how they handle multi-turn interactions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
