At a Glance
- Tasks: Help shape the future of AI by developing and optimising complex systems.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects that influence the future.
- 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.
Full-Stack Engineer (Remote) (Leeds) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Full-Stack Engineers to thrive in shaping the future of AI technology from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that have a real-world impact. Join us in Leeds and be part of a team that values creativity, technical excellence, and meaningful contributions to the advancement of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack Engineer (Remote) (Leeds)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and complex systems. This is your chance to demonstrate your expertise in backend engineering and how you can contribute to innovative projects like Outlier's.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail. We want to see how you tackle real-world problems!
✨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, it shows you’re genuinely interested in joining our team at Outlier.
We think you need these skills to ace Full-Stack Engineer (Remote) (Leeds)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to the job description, especially those involving multi-turn system interactions or integrating agents with live tools.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate high-density technical feedback, so make sure your points are easy to understand.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 and technologies mentioned in the job description. Brush up on Python, JavaScript, or Go, and be ready to discuss your experience with SQL databases. We recommend preparing examples of projects where you’ve used these skills effectively.
✨Showcase Your Problem-Solving Skills
Be prepared to talk about complex systems you've worked on and how you approached problem-solving. Think of specific instances where you identified issues like privacy leaks or authority escalation. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Attention to Detail
Since the role requires outstanding attention to detail, be ready to provide clear, high-density technical feedback on system behaviours. We advise reviewing your past work and being able to articulate how you ensured quality and precision in your projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects, especially around AI agents and LLMs. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. We believe that asking about their approach to integrating agents with live tools can spark a great conversation.
