At a Glance
- Tasks: Help shape the future of AI by developing and optimising complex systems.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a fast-paced environment.
- 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 40000 - 50000 € 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) (Bradford) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Full-Stack Engineers to thrive in a remote environment while contributing to cutting-edge AI projects. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to work alongside leading AI organisations, making a meaningful impact on the future of autonomous agents. Our commitment to flexibility and a supportive team atmosphere ensures that you can balance your personal and professional life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack Engineer (Remote) (Bradford) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. 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 multi-stage coordination tasks.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss how you've tackled real-world problems in your previous roles.
✨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 Full-Stack Engineer (Remote) (Bradford) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. 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 multi-turn system interactions or any relevant projects you've tackled.
Showcase Your Technical Skills:Don’t forget to mention the programming languages you’re proficient in, like Python or JavaScript. If you’ve worked with SQL databases or integrated agents with live tools, let us know! We love seeing practical experience in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and technologies mentioned in the job description, like Python, JavaScript, or SQL. Brush up on your backend engineering skills and be ready to discuss how you've built production-grade software in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Be ready to explain your thought process and the steps you took to achieve successful outcomes, especially in live environments.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the specifics of their projects, like training Large Language Models. This will help you align your answers with their objectives and demonstrate your genuine interest in shaping the future of autonomous agents.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s projects. This shows your enthusiasm and helps you gauge if the position is the right fit for you. Consider asking about their approach to integrating agents with live tools or how they handle multi-turn system interactions.
