Founding Engineer for Generative AI & Voice Tech

Founding Engineer for Generative AI & Voice Tech

Full-Time 55000 - 63000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and launch groundbreaking Voice AI products that change how we interact with machines.
  • Company: Join a pioneering Generative AI startup in the heart of London.
  • Benefits: Earn up to £250k, with direct access to experienced founders and career growth.
  • Why this job: Be at the forefront of AI technology and make a real impact on the future.
  • Qualifications: Strong engineering background and experience in fast-paced environments.

The predicted salary is between 55000 - 63000 £ per year.

Tech Talent Network is seeking founding engineers to join a pioneering Generative AI startup in London.

This role involves building and shipping advanced Voice AI products that revolutionize human-machine interaction.

The ideal candidate will have an excellent educational background and experience in dynamic engineering environments, ready to contribute to impactful projects in a fast-paced setting.

The position offers competitive compensation of up to £250k, along with direct access to seasoned founders and the chance to influence the future of AI technology. #J-18808-Ljbffr

Founding Engineer for Generative AI & Voice Tech employer: Tech Talent Network

Tech Talent Network is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of London. Employees benefit from competitive compensation, direct mentorship from experienced founders, and ample opportunities for professional growth, making it an ideal environment for those passionate about shaping the future of AI technology.

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Contact Details:

Tech Talent Network Recruitment Team

We think you need these skills to ace Founding Engineer for Generative AI & Voice Tech

Generative AI
Voice AI
Human-Machine Interaction
Engineering Experience
Project Development
Fast-Paced Environment Adaptability
Impactful Project Contribution