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.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- 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 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 Platform Engineer (Remote) (Newcastle upon Tyne) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Platform Engineers to thrive in a remote setting from Newcastle upon Tyne. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of AI, alongside leading organisations in the field. Our commitment to flexibility and meaningful work ensures that you can make a significant impact while enjoying a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer (Remote) (Newcastle upon Tyne)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. 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 beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with backend engineering and how you've tackled real-world problems using languages like Python or JavaScript.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Platform Engineer (Remote) (Newcastle upon Tyne)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention specific projects or technologies you've worked with that relate to what we do at StudySmarter.
Showcase Your Technical Skills:When applying, be sure to list the programming languages you're proficient in, especially Python, JavaScript, Go, or Java. If you have experience with SQL databases or integrating agents with live tools, make that clear! We love seeing practical examples of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've used them in real-world projects. Prepare examples that showcase your ability to build production-grade software.
✨Showcase Your Problem-Solving Skills
Think of specific instances where you've tackled complex systems integration or multi-turn interactions. Be prepared to explain your thought process and the steps you took to resolve issues. This will demonstrate your analytical skills and attention to detail.
✨Familiarise Yourself with Their Projects
Research Outlier and their work with AI agents. Understanding their projects, like OpenClaw, will help you align your answers with their goals. It shows genuine interest and can spark engaging conversations during the interview.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of SQL databases and API integrations. Practice explaining how you've integrated agents with live tools and how you handle data acquisition. Clear, concise explanations will impress your interviewers.
