At a Glance
- Tasks: Help shape the future of AI by developing advanced software for autonomous agents.
- 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 team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects that redefine technology.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
The predicted salary is between 45000 - 55000 € 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.
Software Engineer (Remote) (Manchester) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Software Engineers to contribute to groundbreaking AI projects from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge technologies, making it an ideal environment for those passionate about shaping the future of autonomous agents. Our remote setup not only promotes work-life balance but also connects you with a diverse team of experts dedicated to pushing the boundaries of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Remote) (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with other software engineers. 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 how you tackle real-world problems.
✨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, especially around multi-turn system interactions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Engineer (Remote) (Manchester) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Engineer. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how you can contribute to our mission!
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 LLMs or any relevant technologies, and let us know why you’re excited about joining our team.
Showcase Your Technical Skills:Don’t forget to highlight your proficiency in at least two major programming languages like Python or JavaScript. If you've worked with SQL databases or built production-grade software, make sure to mention those experiences clearly. We love seeing your technical prowess!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates. Let’s get your journey started!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you might be asked to demonstrate your knowledge of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system interactions.
✨Understand the Project
Familiarise yourself with Outlier's projects and their focus on AI agents. Being able to discuss how you can contribute to training advanced generative systems will show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
