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- Tasks: Lead architectural decisions for data platforms and LLM-powered products.
- Company: A leading venture capital firm in the UK with a start-up vibe.
- Benefits: Competitive salary, equity, and flexible remote work options.
- Why this job: Make a real impact in AI technologies while mentoring future talent.
- Qualifications: 8+ years in full-stack systems, especially with Python and data modelling.
- Other info: Join a dynamic team and shape the future of AI.
The predicted salary is between 48000 - 72000 £ per year.
A leading venture capital firm in the UK is seeking a Staff AI Engineer to lead architectural decisions for data platforms and LLM-powered products. This role requires over 8 years of experience in full-stack systems, particularly with Python and data modeling. The successful candidate will translate business objectives into scalable solutions while mentoring junior engineers.
Competitive salary, equity, and a flexible work environment in a start-up setting make this a unique opportunity for impact in AI technologies.
Staff AI Engineer: Lead Data Platform & LLM (Remote) in London employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer: Lead Data Platform & LLM (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data modelling. We want to see how you’ve tackled real-world problems and made an impact with your solutions.
✨Tip Number 3
Prepare for the interview like it’s the championship game! Research the company, understand their products, and be ready to discuss how your experience aligns with their needs. We’re talking about translating business objectives into scalable solutions here!
✨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 and engaged with our platform.
We think you need these skills to ace Staff AI Engineer: Lead Data Platform & LLM (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with full-stack systems and Python. 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 and how you can contribute to our data platform. Let us know what excites you about this opportunity!
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the gig, share examples of how you've supported others in their growth. We love seeing candidates who are not just tech-savvy but also great team players!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Crane Venture Partners
✨Know Your Tech Inside Out
Make sure you’re well-versed in full-stack systems, especially with Python and data modelling. Brush up on your knowledge of architectural decisions for data platforms and LLM-powered products. Being able to discuss specific projects where you've applied these skills will really impress.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to share examples of how you've led teams or guided less experienced colleagues in the past. Highlight your approach to fostering a collaborative environment and how you’ve helped others grow.
✨Align with Business Objectives
Understand the company’s mission and how they leverage AI technologies. Be ready to discuss how you can translate business objectives into scalable solutions. This shows that you’re not just technically savvy but also business-minded.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s vision for AI technologies or how they measure success in their projects. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.
