Embedding VC

Software Engineer, Applied AI / Product

Embedding VC
Apply
2 months ago

Responsibilities

  • Build and ship workflows that automate steps in medical and legal case processes.
  • Design evaluation frameworks to determine whether agent outputs are reliable enough to ship.
  • Feed evaluation feedback into a synthesized knowledge base.
  • Improve platform ingestion, indexing, and assembly of case context for agents.
  • Build tooling and interfaces that bring platform context and agent capabilities into users’ daily workflows.
  • Iterate on agent features based on direct user input and real-world usage.
  • Establish patterns and tooling for AI-native development across the team.

Requirements

  • Experience taking ambiguous problems from concept to shipped solution without a detailed specification.
  • Ability to own problems end to end, from agent logic through the user interface.
  • Interest in frontier models and in building reliable evaluations and guardrails around them.
  • Commitment to correctness, reliability, high-quality code, and thoughtful product craftsmanship.
  • Ability to work as a generalist across the full stack and iterate from real-world user feedback.
Embedding VC

About Embedding VC

11-50 employees

Embedding VC is an early-stage venture fund that backs generative AI startups, led by current and former builders and operators. The partnership invests capital and hands-on expertise to help AI founders scale, with a focus on progress toward AGI. Founded in 2023 and headquartered in Menlo Park, California, it operates as a private partnership concentrating on AI-native applications and infrastructure.

Contact me