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For Companies At a Glance
- Tasks: Build and optimise AI features while designing user-friendly interfaces.
- Company: Fast-growing AI startup in London with a focus on innovation.
- Benefits: Competitive salary, equity, and hybrid working model.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: 8+ years of software engineering experience and strong TypeScript skills.
- Other info: Commitment to educational advancements in AI and career growth.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing AI startup in London is seeking a Product Engineer focused on AI to build and optimize core intelligence features. This hands-on position involves designing user-facing features and improving production AI systems.
Applicants should have:
- 8+ years of software engineering experience
- Strong TypeScript skills
- A clear focus on driving impact
The role offers a competitive salary, equity, and a hybrid working model with a dynamic team committed to educational advancements in AI.
Staff AI Product Engineer — Equity & Hybrid Work in London employer: gizmo.ai
Contact Detail:
gizmo.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Product Engineer — Equity & Hybrid Work 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 open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your TypeScript projects and any AI features you've built. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and problem-solving scenarios related to AI. We recommend practicing with friends or using online platforms to simulate real interview conditions.
✨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 Staff AI Product Engineer — Equity & Hybrid Work in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your TypeScript expertise and any relevant AI experience in your application. We want to see how your skills can drive impact in our team!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background aligns with the role of Staff AI Product Engineer. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity and brevity, so make sure your points are easy to understand and get straight to the impact you’ve made in previous roles.
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 gizmo.ai
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to product engineering. Be ready to discuss how you've applied your TypeScript skills in previous projects and how they can drive impact in the role.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of user-facing features you've designed or optimised. Highlight any production AI systems you've worked on, focusing on the challenges you faced and how you overcame them.
✨Understand the Company Culture
Research the startup's mission and values, particularly their commitment to educational advancements in AI. Be prepared to discuss how your personal values align with theirs and how you can contribute to their dynamic team.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, future goals, and how they measure success in the AI space. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.