Founding Engineer & Tech Lead – Real-Time Ambient AI in London

Founding Engineer & Tech Lead – Real-Time Ambient AI in London

London Full-Time 80000 - 120000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Architect and optimise real-time AI models while shaping product direction.
  • Company: Join a dynamic team from Stripe and Google at ZATAR AI.
  • Benefits: Equity options, hybrid work, and a chance to influence tech's future.
  • Other info: Exciting opportunity to grow in a collaborative and innovative environment.
  • Why this job: Be a founding engineer and make a real impact in AI innovation.
  • Qualifications: Experience in software engineering and a passion for AI technology.

The predicted salary is between 80000 - 120000 Β£ per year.

Jack & Jill seeks a Founding Engineer/CTO for the development of an ambient AI product at ZATAR AI. Work alongside a team with backgrounds from Stripe and Google, creating live call intelligence. The role involves architecting technical foundations, optimizing low-latency models, and significant influence on product roadmap and engineering culture. Join a hybrid environment in London, UK, with the chance to secure equity and shape the future of technology.

Founding Engineer & Tech Lead – Real-Time Ambient AI in London employer: Jack & Jill

At Jack & Jill, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to make a real impact. As a Founding Engineer/CTO, you will not only have the opportunity to work alongside industry leaders from Stripe and Google but also enjoy a hybrid working environment in London that promotes flexibility and collaboration. With competitive equity options and a strong focus on personal and professional growth, we are committed to supporting your journey as you help shape the future of ambient AI technology.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Founding Engineer & Tech Lead – Real-Time Ambient AI in London

Technical Architecture
Low-Latency Model Optimisation
Product Roadmap Development
Engineering Culture Development
Real-Time Data Processing
AI Product Development
Team Collaboration