Full-Time

Software Engineer

Applied AI, Product

Embedding VC

Embedding VC

11-50 employees

Early-stage venture fund for Generative AI

No salary listed

San Francisco, CA, USA

In Person

Category
Software Engineering (1)

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Requirements
  • Experience engineering for correctness and reliability, not just functionality.
  • Excitement about working with frontier models and attention to the evaluations and guardrails around them.
  • Ability to ship high-quality code quickly and take a vague problem to a shipped solution without a specification.
  • Ability to own problems end-to-end, from agent logic to the interface a user interacts with.
  • Care for product craft and the difference between functional software and software that is genuinely good to use.
  • Interest in building long-term products and companies.
Responsibilities
  • Build and ship new workflows that take over steps of the case process, driven by physician or operations team feedback.
  • Design the evaluation framework that determines whether an agent's output is reliable enough to ship and pipe feedback into the synthesized knowledge base.
  • Improve how the platform ingests, indexes, and assembles the appropriate case context for an agent.
  • Add tooling to the interfaces users interact with daily, bringing more platform context and agent capabilities into their workflow.
  • Iterate quickly on features with direct user input, refining agents based on real-world usage and feedback.
  • Set patterns and tooling for artificial intelligence-native development for the rest of the team.
  • Work across the full stack, including agent architectures, evaluations, data and context pipelines, and platform interfaces.

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

N/A

Total Funding

N/A

Headquarters

Menlo Park, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 2026 delivered Eos Cyber's combination with AppViewX, a real liquidity event.
  • February 2026 Shiplight AI launched MCP, cutting manual UI testing and widening distribution.
  • April 2026 portfolio names Moonlake AI and Supermemory entered Bessemer's AI infrastructure landscape.

What critics are saying

  • Embedding VC depends on frothy generative-AI exits; a downturn crushes markups and fundraising.
  • If OpenAI, a16z, and YC monopolize AI talent, Embedding VC becomes irrelevant.
  • One flagship exit, AppViewX, cannot prove enduring venture performance; a weak 2026 would sting.

What makes Embedding VC unique

  • Roger Jie Luo runs Embedding VC as an AI-native fund with startup-building services.
  • January 16, 2026 Founder-in-Residence program embeds builders before company formation.
  • March 2026 newsletters showcase portfolio support, including Bessemer placement and AppViewX integration.

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Benefits

Health Insurance

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

20%

1 year growth

12%

2 year growth

12%
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