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- Tasks: Design and implement reliable AI systems while transforming data into actionable insights.
- Company: Leading digital asset platform in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the AI field.
- Qualifications: Strong AI engineering skills and experience in data engineering required.
- Other info: Collaborative environment with a focus on coding standards and quality outputs.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital asset platform in Greater London seeks an experienced AI Engineer to design and implement AI systems with a focus on reliability and observability. This role requires strong skills in AI engineering and agent orchestration, alongside a background in data engineering. You will work with cross-functional teams to transform data into action-driven insights, ensuring high-quality AI outputs and establishing coding standards for your engineering team.
Senior AI Platform Engineer – Production Systems & Data employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Platform Engineer – Production Systems & Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 AI projects and data engineering work. This is your chance to demonstrate your expertise in designing reliable AI systems and agent orchestration – make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've transformed data into actionable insights. Practice common interview questions and think about how you can highlight your experience with cross-functional teams.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are passionate about AI and data engineering. It shows initiative and gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Senior AI Platform Engineer – Production Systems & Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI engineering and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI systems and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your expertise in agent orchestration and any coding standards you’ve established in previous roles. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 – just follow the prompts!
How to prepare for a job interview at P2P
✨Know Your AI Inside Out
Make sure you brush up on your AI engineering skills, especially around reliability and observability. Be ready to discuss specific projects where you've designed or implemented AI systems, and how you ensured their performance and reliability.
✨Showcase Your Data Engineering Experience
Since the role involves transforming data into actionable insights, be prepared to share examples of your data engineering background. Talk about the tools and techniques you've used to manage and analyse data effectively.
✨Collaboration is Key
This position requires working with cross-functional teams, so highlight your experience in collaborating with different departments. Share stories that demonstrate your ability to communicate complex ideas clearly and work towards common goals.
✨Establishing Coding Standards
Be ready to discuss how you've contributed to coding standards in previous roles. Think about how you can ensure high-quality outputs from your engineering team and be prepared to suggest best practices that could benefit the company.
