At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
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 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.
AI Engineer (Remote) (Cambridge) in London employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Engineers to work remotely while contributing to groundbreaking projects in the field of autonomous agents. With a strong emphasis on employee growth, Outlier provides opportunities for continuous learning and development, ensuring that team members can enhance their skills and advance their careers in a supportive environment. The company's commitment to shaping the future of AI technology, combined with its flexible working arrangements, makes it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) (Cambridge) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI systems. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer (Remote) (Cambridge) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your backend engineering experience and any projects where you've worked with AI automation or complex systems integration.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with LLMs or any relevant projects that showcase your expertise in building production-grade software.
Show Off Your Technical Skills:Don’t forget to mention the programming languages you’re proficient in, like Python or JavaScript. If you’ve integrated agents with live tools or tackled multi-turn system interactions, let us know – we love seeing that hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being considered. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific projects where you had to design or optimise workflows, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since this role requires a keen eye for detail, come prepared with instances where your attention to detail made a difference. Whether it was identifying subtle failures or providing technical feedback, having concrete examples will impress them.
✨Familiarise Yourself with Their Projects
Do some homework on Outlier and their work with AI agents like OpenClaw. Understanding their mission and recent projects will not only help you answer questions but also show your genuine interest in the role and the company.
