Staff AI Product Engineer — Equity & Hybrid Work
Staff AI Product Engineer — Equity & Hybrid Work

Staff AI Product Engineer — Equity & Hybrid Work

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and optimise AI features that make a real difference in user experience.
  • Company: Fast-growing AI startup in London with a focus on innovation.
  • Benefits: Competitive salary, equity options, and a flexible hybrid work model.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: 8+ years in software engineering with strong TypeScript skills.
  • Other info: Be part of a team dedicated to educational advancements in AI.

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, and 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 employer: gizmo.ai

Join a fast-growing AI startup in London that champions innovation and collaboration, offering a competitive salary and equity alongside a hybrid working model. Our dynamic team is dedicated to educational advancements in AI, providing ample opportunities for professional growth and development in a supportive work culture that values impact and creativity.
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Contact Detail:

gizmo.ai Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff AI Product Engineer — Equity & Hybrid Work

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 best projects, especially those involving TypeScript and AI. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to AI product engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.

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

Software Engineering
TypeScript
AI Systems Design
User Interface Design
Feature Optimization
Impact-Driven Development
Production System Improvement
Collaboration Skills

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your TypeScript expertise and any relevant AI projects you've worked on. We want to see how your experience aligns with the role, so don’t hold back!

Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention specific core intelligence features or production AI systems you’ve worked on that relate to what we’re looking for.

Be Impact-Focused: We love candidates who can demonstrate a clear focus on driving impact. Share examples of how your work has made a difference in previous roles, especially in AI or software engineering.

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!

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 this role.

Showcase Your Hands-On Experience

Prepare examples of your hands-on work with user-facing features and production AI systems. Highlight specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and practical knowledge.

Understand the Company Culture

Research the startup's mission and values, particularly their commitment to educational advancements in AI. This will help you align your answers with their goals and show that you're genuinely interested in being part of their dynamic team.

Ask Insightful Questions

Prepare thoughtful questions about the company's approach to hybrid work and how they measure success in AI product development. This not only shows your interest but also helps you gauge if the company is the right fit for you.

Staff AI Product Engineer — Equity & Hybrid Work
gizmo.ai

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