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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment focused on advanced generative systems.
- Why this job: Make a real impact on cutting-edge AI projects with leading organisations.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Software Engineer - AI (Remote) in Nottingham employer: Employer near you
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 empowers you to thrive in a flexible environment while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI (Remote) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. We love seeing real-world applications of your work, so make sure to highlight any live environments you've built for.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. We recommend practicing with platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨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’re always on the lookout for passionate individuals ready to shape the future of AI agents!
We think you need these skills to ace Software Engineer - AI (Remote) in Nottingham
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in 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 projects, be specific about the technologies you used. Mention the programming languages you're comfortable with and any SQL databases you've worked with. This helps us understand your technical background better.
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 reflects your ability to 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 role. We can’t wait to see what you bring to the table!
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 mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you might be asked to solve problems or discuss your experience with databases during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will help demonstrate your capabilities.
✨Understand AI and Automation
Since the role focuses on AI automation, be ready to discuss your understanding of AI agents and how they function. Familiarise yourself with concepts like multi-turn interactions and how to provide feedback on system behaviours, as this could come up in technical discussions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to AI. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
