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Embedding VC

Early-stage venture fund for Generative AI

AI Agent Tech Lead

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

About the Job

Requirements

  • 1–5 years of software engineering experience.
  • Strong hands-on building experience with comfort owning systems end-to-end.
  • Backend and full-stack engineering strength.
  • AI agent background is preferred, including agent frameworks or LLM-powered products; voice AI is a plus.
  • Startup or early-stage product-building experience and a bias toward rapid feature development.
  • Comfort with ambiguity and evolving priorities, high ownership, and a bias toward shipping.
  • Interest in growing into a leadership role.

Responsibilities

  • Build the core of a new AI agent product end-to-end across backend and full-stack systems, from prototype to pilot.
  • Turn rough product direction into shipped features quickly and iterate with real pilot customers.
  • Make early, high-leverage technical decisions and set the engineering bar as the team grows.
  • Mentor engineers, participate in hiring, and own architecture as the team scales.
  • Work hands-on with large language models, AI agents, and voice AI as part of daily development.

Desired Qualifications

  • AI agent background, including experience with agent frameworks or LLM-powered products.
  • Voice AI experience.
  • Startup or YC-caliber builder experience rather than Big Tech pedigree.

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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