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- Tasks: Lead the development of an innovative Graph AI platform and enhance AI-driven systems.
- Company: Exciting tech startup with a fully remote and dynamic team.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a significant impact on cutting-edge AI technology and own your projects.
- Qualifications: 3–8+ years in software engineering or AI, strong backend skills, and Python expertise.
- Other info: Join a collaborative environment with great potential for career advancement.
The predicted salary is between 60000 - 80000 £ per year.
A tech startup is seeking an AI Engineer Lead for their fully remote team. This role involves leading the technical development of their Graph AI platform, improving AI-driven matching systems, and building core product features.
The ideal candidate will have 3–8+ years in software engineering or AI, strong backend and system design skills, and expertise in Python and cloud infrastructures. This position offers a significant impact on product direction and allows full ownership of the AI platform's development.
Remote AI Engineer Lead - Graph AI & Platform Scaling in London employer: PRAGMATIKE
Contact Detail:
PRAGMATIKE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer Lead - Graph AI & Platform Scaling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at startups. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Graph AI or cloud infrastructures. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and backend development concepts. Practice coding challenges in Python to ensure you're ready to impress during the interview process.
✨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 about their job search!
We think you need these skills to ace Remote AI Engineer Lead - Graph AI & Platform Scaling in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in software engineering and AI. We want to see your backend and system design skills shine through, so don’t hold back on showcasing your expertise in Python and cloud infrastructures!
Tailor Your Application: Take a moment to customise your application for this role. We’re looking for someone who can lead the technical development of our Graph AI platform, so make it clear how your past experiences align with this goal.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about what you can bring to our team and the impact you can have on our product direction.
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 PRAGMATIKE
✨Know Your Graph AI Inside Out
Make sure you brush up on your knowledge of Graph AI and its applications. Be ready to discuss how you've used it in past projects, and think about how you can apply it to the company's platform. This shows you're not just familiar with the tech but are genuinely passionate about it.
✨Showcase Your Leadership Skills
As a lead, you'll need to demonstrate your ability to guide a team. Prepare examples of how you've successfully led projects or mentored others in the past. Highlight your communication style and how you foster collaboration within a remote team.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into your technical skills, especially in Python and cloud infrastructures. You might be asked to solve a coding problem or discuss system design. Practise articulating your thought process clearly, as this will showcase your problem-solving abilities.
✨Understand Their Product Vision
Research the startup's product and its current challenges. Think about how your experience aligns with their goals and be ready to share ideas on how you could contribute to improving their AI-driven matching systems. This shows initiative and that you're already thinking about how to make an impact.