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- Tasks: Build core AI systems and design knowledge graphs from scratch.
- Company: Exciting stealth-stage AI startup in London with a mission-driven focus.
- Benefits: Competitive compensation, potential equity, and a vibrant work culture.
- Why this job: Join a pioneering team and make impactful technical decisions in AI.
- Qualifications: 2–5 years of experience in production AI systems and an ownership mindset.
- Other info: High-energy environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A stealth-stage AI startup is seeking a Founding AI Engineer in London to build core AI systems from the ground up. You will design knowledge graphs and retrieval systems, work with Python and LLMs, and make impactful technical decisions.
Ideal candidates have 2–5 years of experience in production AI systems and demonstrate an ownership mindset. This role offers competitive compensation, potential equity, and a chance to thrive in a high-energy, mission-driven environment.
Founding AI Engineer — Build Core AI Systems (Equity) in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer — Build Core AI Systems (Equity) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving knowledge graphs and LLMs. This will give you an edge and demonstrate your ownership mindset to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding core AI concepts. Practice coding challenges and be ready to discuss your past experiences in production AI systems.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Don’t miss out on the chance to join a mission-driven team that values innovation.
We think you need these skills to ace Founding AI Engineer — Build Core AI Systems (Equity) in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission and how you can contribute to building core AI systems. Share specific projects or technologies that excite you.
Highlight Relevant Experience: Make sure to showcase your 2–5 years of experience in production AI systems. We’re looking for candidates who have hands-on experience with Python and LLMs, so don’t hold back on detailing your past roles and achievements!
Demonstrate Ownership Mindset: We love candidates who take initiative! In your application, share examples of how you've taken ownership of projects or made impactful decisions in your previous roles. This will help us see your potential fit in our high-energy environment.
Apply Through Our Website: Ready to take the plunge? We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at Jobster
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially knowledge graphs and retrieval systems. Be ready to discuss your past experiences with Python and LLMs, as well as any impactful decisions you've made in previous roles.
✨Show Your Ownership Mindset
This role is all about taking ownership, so be prepared to share examples of how you've taken initiative in your past projects. Highlight situations where you went above and beyond to ensure success, and how that mindset can benefit the startup.
✨Ask Smart Questions
Prepare thoughtful questions about the company's vision and the specific challenges they face in building core AI systems. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems related to AI and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
