At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Outlier, a leader in AI innovation and 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 train advanced generative systems and make a real-world impact.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
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.
Software Engineer - AI Technologies (Remote) (Leeds) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Software Engineers to thrive in the rapidly evolving field of AI technologies. With remote working options available, employees enjoy flexibility while contributing to groundbreaking projects that shape the future of autonomous agents. The company prioritises employee growth through continuous learning opportunities and encourages a passion for developing advanced generative systems, making it a rewarding place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI Technologies (Remote) (Leeds)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software 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 dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI technologies. We want to see your coding chops in action, so don’t be shy about sharing your GitHub or any live demos.
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research Outlier and our projects, and think about how your experience aligns with what we do. We love candidates who can connect their background to our mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to shape the future of AI with us.
We think you need these skills to ace Software Engineer - AI Technologies (Remote) (Leeds)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Engineer - AI Technologies. 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! Provide examples of how you've built production-grade software and handled multi-turn system interactions. This will help us understand your practical 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 where necessary and avoid jargon unless it’s relevant to the role. This helps us quickly grasp your qualifications and fit for the position.
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 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 be asked about your experience with databases during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your role in these projects, especially any experience with complex systems integration or AI automation. Real-world examples will make your skills stand out!
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in improving AI agents. Being able to discuss how your skills can contribute to their mission of training advanced generative systems will show your genuine interest and alignment with their goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and attention to detail. Practice explaining complex system behaviours clearly, as this is crucial for providing high-density feedback. Don’t shy away from discussing potential failures and how you would address them.
