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- Tasks: Develop innovative AI solutions for a cutting-edge enterprise platform.
- Company: Forward-thinking tech company in Greater London with a dynamic culture.
- Benefits: Competitive salary up to £95K, equity package, and flexible work arrangements.
- Why this job: Join as a founding engineer and shape the future of AI technology.
- Qualifications: Minimum 2 years experience in AI and proficiency in Python required.
- Other info: Work closely with the CTO in a vibrant Central London environment.
The predicted salary is between 57000 - 95000 £ per year.
A forward-thinking tech company in Greater London is seeking a Founding AI Engineer with a strong background in applied AI. The role involves developing AI solutions for a new enterprise platform, working closely with the CTO.
Candidates should have a minimum of 2 years experience in AI and be proficient in Python. This position offers a competitive salary of up to £95K plus an equity package and requires 3 days on-site work in Central London.
Founding AI Engineer — Build Production AI in London, Equity employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer — Build Production AI in London, Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python. This will not only demonstrate your expertise but also make you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI knowledge and coding skills. Practice common interview questions and coding challenges to boost your confidence and impress the CTO.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives us a chance to see your application in the best light possible. Don’t miss out!
We think you need these skills to ace Founding AI Engineer — Build Production AI in London, Equity
Some tips for your application 🫡
Show Off Your AI Skills: Make sure to highlight your experience in applied AI and any relevant projects you've worked on. We want to see how you can bring your expertise to our new enterprise platform!
Python Proficiency is Key: Since proficiency in Python is a must, don’t forget to mention any specific frameworks or libraries you’ve used. We love seeing practical examples of your coding skills!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our vision and the exciting work we’re doing at StudySmarter. It’ll make you stand out!
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 our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your AI Stuff
Make sure you brush up on your applied AI knowledge. Be ready to discuss your past projects and how you've used AI to solve real-world problems. The more specific examples you can provide, the better!
✨Python Proficiency is Key
Since proficiency in Python is a must, practice coding challenges or review your previous work in Python. Be prepared to demonstrate your coding skills during the interview, as they might ask you to solve a problem on the spot.
✨Understand the Company’s Vision
Research the company and its mission. Knowing what they stand for and how they plan to innovate in the AI space will help you align your answers with their goals. Show them that you're not just looking for a job, but that you're genuinely interested in contributing to their vision.
✨Prepare Questions for the CTO
Since you'll be working closely with the CTO, think of insightful questions to ask them. This shows your interest in the role and gives you a chance to gauge their expectations. It could be about the tech stack, team dynamics, or future projects.
