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 remote environment with exciting projects and 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 50000 - 60000 € 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 Engineer (Remote) (Sheffield) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, providing employees with opportunities to work on cutting-edge AI projects that shape the future of technology. With a focus on meaningful contributions and a supportive team atmosphere, we empower our Generative AI Engineers to thrive and make a real impact in the world of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (Remote) (Sheffield)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with generative systems. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to LLMs and complex systems integration. We recommend using platforms like LeetCode or HackerRank to get in the zone.
✨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 Generative AI Engineer (Remote) (Sheffield)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Generative AI Engineer role. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with LLMs or multi-turn system interactions, and let us know how you can help improve our AI agents.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript. If you've worked with SQL databases or integrated agents with live tools, make sure to include those details. We love seeing practical experience that aligns with our needs!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take the initiative to connect with us directly!
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 specific projects and the challenges you faced, especially those involving multi-turn system interactions.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you’ve identified subtle failures in systems, such as privacy leaks or authority escalation. Be prepared to explain how you approached these issues and what solutions you implemented.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the projects you'll be working on, especially regarding the integration of agents with live tools. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
