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For Companies At a Glance
- Tasks: Design scalable systems and optimise large datasets for AI solutions.
- Company: Leading technology investment firm focused on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a team revolutionising data security with cutting-edge AI technology.
- Qualifications: 6+ years backend experience and proficiency in Python or Go.
- Other info: Dynamic environment with a focus on product innovation.
The predicted salary is between 48000 - 72000 £ per year.
A technology investment firm in the United Kingdom is seeking an experienced Backend Engineer to drive product innovation in their Linea AI team. The role involves designing scalable systems, optimizing large datasets, and productionizing AI prototypes.
Ideal candidates have:
- 6+ years of backend experience
- Proficiency in Python or Go
- A background in deploying AI solutions
Join a team committed to revolutionizing data security with cutting-edge technology and innovation.
Remote Senior AI Backend Engineer - Scalable Production ML in London employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior AI Backend Engineer - Scalable Production ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech 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 involving scalable systems or AI prototypes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common backend engineering questions and AI deployment scenarios. Practice coding challenges and be ready to discuss your past experiences in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Senior AI Backend Engineer - Scalable Production ML in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 6+ years of backend experience in your application. We want to see how you've tackled challenges and driven product innovation in your previous roles.
Tailor Your Skills: When you mention your proficiency in Python or Go, give us specific examples of projects where you've used these languages. This helps us understand how your skills align with what we're looking for.
Talk About AI Solutions: Since we're all about productionising AI prototypes, share any relevant experiences you've had in deploying AI solutions. This will show us that you're ready to jump into our Linea AI team.
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 Python or Go, as these are crucial for the role. Brush up on your knowledge of scalable systems and AI deployment techniques, so you can confidently discuss your past experiences and how they relate to the job.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in backend engineering. Think about times when you optimised large datasets or productionised AI prototypes, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Company’s Vision
Research the technology investment firm and their Linea AI team. Familiarise yourself with their commitment to data security and innovation, so you can align your answers with their goals and demonstrate that you’re a great fit for their culture.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, challenges they face in AI deployment, or how they measure success in their engineering teams. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
