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Embedding VC

Early-stage venture fund for Generative AI

AI Engineer - Early Career

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Fresh graduate or early-career engineer with limited professional experience.
  • A portfolio of projects, side projects, hackathons, or open-source work demonstrating a track record of building.
  • Solid engineering fundamentals and eagerness to learn quickly.
  • Own opinions on product and a strong sense of ownership.
  • Comfort with ambiguity and a fast, low-process environment.

Responsibilities

  • Build and ship product features across the stack on the new AI agent product.
  • Prototype quickly, learn from pilot customers, and iterate.
  • Contribute an independent point of view on product direction.
  • Work hands-on with large language models, agents, and voice artificial intelligence, using modern artificial intelligence coding tools daily.

About the Company

Embedding VC

Early-stage venture fund for Generative AI

Embedding VC is an early-stage venture fund that backs Generative AI startups. It provides seed to early-stage capital and operational guidance, leveraging a team of current and former builders and operators who can help portfolio companies grow. The fund’s approach centers on working closely with founders and using hands-on experience to scale AI projects, including those aiming toward AGI, during a period described as a new computing super cycle driven by AI innovations. Unlike funds that rely mainly on financial leverage, Embedding VC differentiates itself through its deep operator network, practical support, and focus on and commitment to building capable, scalable AI businesses. The overall goal is to support ambitious AI founders to advance the development and deployment of AI technologies and capture value in the expanding AI ecosystem.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Menlo Park, CA
Founded
2023

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