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 focus on collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Make a real impact in the AI field while working with cutting-edge technology.
- 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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
GenAI Engineer (Remote) (Oxford) employer: Outlier AI
Outlier is an exceptional employer for GenAI Engineers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while our supportive culture encourages continuous learning and development. Join us in Oxford and be part of a team that values your expertise and creativity in advancing generative systems.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Engineer (Remote) (Oxford)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with generative systems. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn.
✨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.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. Practice solving problems that involve multi-turn system interactions and complex workflows to impress your interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Outlier.
We think you need these skills to ace GenAI Engineer (Remote) (Oxford)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the GenAI Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience better.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to get to know you without sifting through fluff!
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 the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
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 might be asked to demonstrate your knowledge of databases during the interview.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your past work where you've built production-grade software or handled complex systems integration. Be ready to discuss how you approached multi-turn system interactions and what challenges you faced.
✨Demonstrate Attention to Detail
During the interview, highlight your ability to provide clear technical feedback. You might be asked to analyse a complex system behaviour, so practice articulating your thought process and the steps you would take to troubleshoot issues.
✨Familiarise Yourself with Generative Systems
Since the role involves working with advanced generative systems, do some research on current trends and technologies in AI. Being able to discuss recent developments or projects related to autonomous agents will show your passion and commitment to the field.
