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) (Nottingham) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Platform Engineers to shape the future of autonomous agents 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 AI technologies, while our commitment to remote work ensures a flexible balance between professional and personal life. Join us to be part of a team that values your expertise and creativity in driving impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer (Remote) (Nottingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI platforms. 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 by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI Platform Engineer (Remote) (Nottingham)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Platform Engineer role. 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 your background aligns with what we're looking for!
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 projects that demonstrate your expertise. Let us know why you’re the perfect fit for our team!
Show Off Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python, JavaScript, or Go. If you've worked with SQL databases or built production-grade software, make sure to highlight those experiences. We love seeing candidates who can back up their claims with real-world examples!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
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'll likely be asked about your experience with databases and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be prepared to provide clear, high-density feedback on technical issues you've encountered. You might be asked to analyse a problem during the interview, so practice articulating your insights clearly and concisely.
✨Familiarise Yourself with Real-World Applications
Research how autonomous agents work in real-world scenarios, especially in relation to the projects mentioned, like OpenClaw. Be ready to discuss how you would approach integrating agents with live tools and solving practical problems using APIs.
