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.
- Why this job: Join us to make a real impact in the world of autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation, with strong coding skills.
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.
Generative AI Engineer (Remote) (Manchester) in Stretford employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Generative AI Engineers to thrive in a remote setting from Manchester. With a strong focus on employee growth, we offer opportunities to work on cutting-edge projects that shape the future of AI, alongside leading organisations in the field. Our commitment to flexibility and meaningful work ensures that you can make a significant impact while enjoying a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (Remote) (Manchester) in Stretford
✨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 land you that dream job.
✨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 your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with complex systems integration to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Generative AI Engineer (Remote) (Manchester) in Stretford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Generative AI 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 and technical prowess.
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. Remember, we’re looking for outstanding attention to detail!
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 Employer near you
✨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 built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration in the past. Think about specific challenges you faced and how you overcame them, especially in live environments. This will demonstrate your ability to handle real-world problems effectively.
✨Highlight Attention to Detail
Since the role requires outstanding attention to detail, be ready to provide clear, high-density feedback on technical issues you've encountered. Bring examples of how your meticulous nature has led to successful outcomes in your previous projects.
✨Familiarise Yourself with Their Projects
Do some homework on Outlier and their work with autonomous agents. Understanding their projects, like OpenClaw, will show your genuine interest in the role and help you connect your skills to their needs during the interview.
