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 team environment with exciting challenges and career advancement.
- Why this job: Join us to make a real impact on cutting-edge AI projects.
- Qualifications: 2+ years in backend engineering and 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.
Full-Stack Engineer (Remote) (Bradford) 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 Bradford 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) (Bradford)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 interviews by brushing up on technical questions and system design scenarios. Practice explaining your thought process clearly, as communication is key when discussing complex system behaviours.
✨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)
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 modular software and multi-turn system interactions to show us what you bring to the table.
Show Off Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention the programming languages you’re comfortable with, like Python or JavaScript, and any experience with SQL databases. We love seeing candidates who can build production-grade software!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
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 past projects. We advise bringing along examples of documentation or code reviews that highlight your meticulous nature and ability to communicate complex ideas clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to AI automation. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. We suggest asking about their current challenges with LLMs or how they measure success in their projects.
