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 options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Join us to make a real impact on cutting-edge 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 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.
GenAI Engineer (Remote) (Leicester) in Coventry employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing GenAI Engineers to shape the future of AI technology from the comfort of their own homes in Leicester. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that impact the world’s leading AI organisations. Join us to be part of a team that values your expertise and creativity in building advanced generative systems.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Engineer (Remote) (Leicester) in Coventry
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that GenAI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We want to see how you’ve tackled real-world problems and integrated systems — it’ll make you stand out!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. We recommend practicing with mock interviews or coding challenges to get comfortable with the types of questions you might face.
✨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 GenAI Engineer (Remote) (Leicester) in Coventry
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 if necessary to break down your achievements and experiences. This will help us quickly grasp your qualifications.
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 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 optimised workflows. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with Real-World Applications
Since the role involves integrating agents with live tools, do some research on platforms like Supabase and Gmail. Be ready to discuss how you would approach solving real-world problems using these tools. This shows that you understand the practical implications of your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and their approach to training generative systems. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!
