Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy AI products while managing product lifecycles.
- Company: Exciting tech company focused on innovation in AI and cloud.
- Benefits: Competitive salary, full-time role, and growth opportunities.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Expertise in Python, TypeScript, and cloud infrastructures required.
- Other info: Dynamic work environment with a focus on customer success.
The predicted salary is between 60000 - 80000 £ per year.
A technology company is seeking a skilled software engineer to develop and deploy AI products in London. The ideal candidate should have solid expertise in Python, TypeScript, and cloud infrastructures.
Responsibilities include:
- Managing product lifecycles
- Prioritising customer success
- Elevating quality standards
The position offers full-time employment with competitive compensation and opportunities for learning and growth.
Founding Software Engineer - AI, Cloud, Equity employer: Weekday AI (YC W21)
Contact Detail:
Weekday AI (YC W21) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Software Engineer - AI, Cloud, Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 Python, TypeScript, and AI. This will give employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence and performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Founding Software Engineer - AI, Cloud, Equity
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, TypeScript, and cloud infrastructures. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that relate to developing and deploying AI products. This helps us see why you’re the perfect fit!
Focus on Customer Success: Since prioritising customer success is key for us, share examples of how you've managed product lifecycles and ensured quality standards in your previous roles. It’ll make your application 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 any important updates from our team!
How to prepare for a job interview at Weekday AI (YC W21)
✨Know Your Tech Stack
Make sure you brush up on your Python and TypeScript skills before the interview. Be ready to discuss your experience with these languages and how you've used them in past projects, especially in relation to AI and cloud infrastructures.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you approach problem-solving and be ready to share specific examples of how you've managed product lifecycles and prioritised customer success in your previous roles.
✨Understand the Company’s Vision
Do your homework on the technology company and its products. Familiarise yourself with their mission and values, and think about how your skills and experiences align with their goals, particularly in developing AI products.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This shows your genuine interest in the role and the company. Consider asking about their approach to quality standards or how they envision the future of AI in their products.