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 spirit.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI projects that redefine technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € 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) (Leeds) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to shape the future of AI technology from the comfort of your home in Leeds. With a strong focus on employee growth, we offer opportunities to work on cutting-edge projects alongside leading AI organisations, ensuring that your contributions are both meaningful and impactful. Join us to be part of a team that values creativity, technical excellence, and the pursuit of groundbreaking solutions in the realm of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer (Remote) (Leeds) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend engineering. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI systems. We recommend practicing with friends or using mock interview platforms to get comfortable with articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who want to shape the future of AI agents.
We think you need these skills to ace Agentic AI Engineer (Remote) (Leeds) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Agentic AI Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with our focus on AI automation and complex systems integration.
Showcase Your Skills:We want to see your command of programming languages like Python or JavaScript. Include specific examples of how you've used these skills in real-world applications, especially in live environments.
Be Clear and Concise:When writing your application, clarity is key! Provide high-density technical feedback examples from your past work, but keep it concise. We appreciate attention to detail, so make sure your writing reflects that.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of autonomous agents.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've built production-grade software and handled multi-turn system interactions. Highlight any real-world problems you've solved using tools like Supabase or various APIs, as this will resonate well with the interviewers.
✨Attention to Detail is Key
Demonstrate your outstanding attention to detail by discussing specific instances where you provided high-density technical feedback on system behaviours. This will show that you can critically analyse complex systems, which is crucial for the role.
✨Be Ready for Technical Challenges
Expect to face some technical challenges during the interview. Practice coding problems or system design scenarios that might come up, especially those related to multi-stage coordination tasks and identifying subtle failures in AI agents.
