At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising 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 projects with potential for significant career advancement.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € per year.
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.
- 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 Engineer (Remote) in York 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 encourages you to shape the future of autonomous agents in a supportive and dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (Remote) in York
✨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 LLMs or complex systems integration. This is your chance to demonstrate your expertise and passion for generative AI.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Generative AI Engineer (Remote) in York
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 command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as specific as possible. We love details! Talk about the challenges you faced, how you overcame them, and the impact your work had. This helps us understand your problem-solving skills and technical expertise.
Tailor Your Application:Take a moment to tailor your application to our job description. Mention any relevant experience with multi-turn system interactions or integrating agents with live tools. This shows us that you’ve done your homework and are genuinely interested in the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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'll likely need to discuss how you've used these technologies in past projects.
✨Showcase Your Experience
Prepare specific examples from your previous work that demonstrate your ability to build and maintain production-grade software. Highlight any complex systems integration or AI automation projects you've worked on, especially those involving multi-turn interactions.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the types of AI agents they develop. Be ready to discuss how your skills can contribute to training advanced generative systems and improving their performance in real-world scenarios.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and their approach to integrating agents with live tools. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
