At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- 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 with 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) (Manchester) in Stretford 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 Manchester 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) (Manchester) in Stretford
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or complex systems integration. This is your chance to demonstrate your expertise in building production-grade software.
✨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 your experience with multi-turn system interactions.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight your experience with the technologies we use, and don’t forget to mention any hands-on experience with live tools.
We think you need these skills to ace Full-Stack Engineer (Remote) (Manchester) in Stretford
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 integration, so don’t hold back!
Be Specific:When detailing your technical skills, be specific about the languages you know and the projects you've worked on. Mention any experience with SQL databases and multi-turn system interactions to really catch our eye.
Attention to Detail is Key:We love candidates who pay attention to detail. Make sure your application is free from typos and clearly structured. This shows us that you can provide high-density technical feedback, which is crucial for the role.
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 Full-Stack Engineer position. We can’t wait to see what you bring to the table!
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 discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled real-world problems using AI automation. This will demonstrate your practical skills and problem-solving abilities.
✨Ask Insightful Questions
Don’t just wait for questions to be thrown at you; engage with the interviewers by asking about their current projects or challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
✨Demonstrate Attention to Detail
Be prepared to provide clear, high-density feedback on complex system behaviours. During the interview, focus on articulating your thought process clearly and concisely, especially when discussing past experiences or hypothetical scenarios.