At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for growth.
- Other info: Dynamic team environment focused on innovative solutions and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects that shape tomorrow's technology.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Full-Stack Engineer (Remote) (Bristol) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our Full-Stack Engineers can thrive in a supportive environment. Join us in Bristol to be part of a team that is shaping the future of autonomous agents, where your contributions will directly impact cutting-edge projects and technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack Engineer (Remote) (Bristol)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend 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 involving AI automation or complex systems integration. This is your chance to demonstrate your expertise in building production-grade software and handling multi-turn interactions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world challenges 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, it shows you're genuinely interested in joining our team at Outlier.
We think you need these skills to ace Full-Stack Engineer (Remote) (Bristol)
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 and maintained production-grade software, so don’t hold back on the details!
Be Specific About Your Experience:When you mention your programming languages, give examples of projects where you used them. We love seeing practical applications, especially if you've worked with SQL databases or integrated agents with live tools.
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you can provide high-density technical feedback, which is super important for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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 knowledge of backend engineering and complex systems integration, as these will likely come up during technical questions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and any live environments you've worked in. This will demonstrate your practical skills and ability to handle real-world challenges.
✨Understand AI and Automation
Since the role involves working with AI agents, it’s crucial to have a solid understanding of AI automation. Familiarise yourself with concepts related to Large Language Models and how they function. Being able to discuss these topics will show your enthusiasm and relevance to the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to AI. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. Think about asking how they handle multi-turn interactions or what tools they use for integration.
