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- Tasks: Design and implement AI infrastructure for large-scale systems.
- Company: Leading recruiting platform with a focus on innovation.
- Benefits: Competitive salary, extensive benefits, and fully remote work.
- Why this job: Make a real impact on millions of users with cutting-edge AI technology.
- Qualifications: Strong Python skills and familiarity with RAG architecture.
- Other info: Thriving remote environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruiting platform is seeking an experienced AI Platform Engineer to design and implement AI infrastructure. You will work on large-scale AI systems, focusing on performance evaluation, observability, and improvement of AI-driven features.
Ideal candidates possess strong Python skills, familiarity with RAG architecture, and can thrive in a fully remote environment.
This role offers a competitive salary, extensive benefits, and the chance to impact millions of users.
Remote AI Platform Engineer - Production AI & Observability employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Platform Engineer - Production AI & Observability
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or relevant forums. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and RAG architecture. This gives potential employers a taste of what you can do beyond just words on a page.
✨Tip Number 3
Prepare for interviews by brushing up on common AI platform engineering questions. We recommend practicing coding challenges and discussing your past experiences with performance evaluation and observability.
✨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 take that extra step!
We think you need these skills to ace Remote AI Platform Engineer - Production AI & Observability
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience with RAG architecture in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to designing and implementing AI infrastructure, as it’ll help us see you as a perfect fit.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. This helps us understand your qualifications quickly!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Jobgether
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI infrastructure and large-scale systems. Be ready to discuss your experience with performance evaluation and observability, as these are key aspects of the role.
✨Python Proficiency is Key
Since strong Python skills are a must, prepare to showcase your coding abilities. You might be asked to solve problems or even write code during the interview, so practice common algorithms and data structures in Python.
✨Familiarise Yourself with RAG Architecture
Get comfortable with Retrieval-Augmented Generation (RAG) architecture. Be prepared to explain how it works and how you've applied it in past projects, as this will demonstrate your technical expertise.
✨Remote Work Readiness
As this is a fully remote position, highlight your experience working in remote teams. Discuss how you manage your time, communicate effectively, and stay productive while working from home.
