At a Glance
- Tasks: Enhance AI agents and train Large Language Models for optimal workflows.
- Company: Outlier AI, a forward-thinking company in the AI space.
- Benefits: Remote work options and opportunities to shape cutting-edge technology.
- Other info: Be part of a dynamic team focused on innovation and growth.
- Why this job: Join a team that’s revolutionising AI with your backend engineering skills.
- Qualifications: 2+ years in backend engineering and proficiency in key programming languages.
The predicted salary is between 50000 - 60000 € per year.
Outlier AI in Woodthorpe, England is looking for an experienced Backend Engineer to improve AI agents with human feedback. You will help shape autonomous agents like OpenClaw and train Large Language Models (LLMs) to optimize architectural workflows.
The ideal candidate has:
- 2+ years in backend engineering
- Expertise in key programming languages
- Experience in building production-grade software
Remote working options are available for this role.
MLOps Engineer — Remote AI Agent Orchestration employer: Outlier AI
Outlier AI is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI technology from the comfort of your home. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on impactful projects that shape the future of autonomous agents. Join us in Woodthorpe, where your expertise will be valued, and your contributions will directly influence the evolution of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer — Remote AI Agent Orchestration
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps and AI 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 related to backend engineering and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to MLOps. Practising with a friend or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace MLOps Engineer — Remote AI Agent Orchestration
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in backend engineering and any relevant programming languages. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving AI agents and how your background makes you a perfect fit for the team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any production-grade software or projects related to AI, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions 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’s super easy!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the key programming languages mentioned in the job description. Brush up on your backend engineering skills and be ready to discuss specific projects where you've built production-grade software.
✨Showcase Your AI Knowledge
Since the role involves improving AI agents, prepare to talk about your experience with AI technologies. Bring examples of how you've used human feedback to enhance AI systems or worked with Large Language Models (LLMs) in previous roles.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios that relate to optimising architectural workflows, as this will demonstrate your critical thinking and technical prowess.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s approach to AI agent orchestration. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
