AI Engineer (Early Career)

Embedding VCEmbedding VCSan Francisco, California, United States
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Posted

8/26/2026

Employment

Full time

Range

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Work style

On-site

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AI summary

Core responsibilities

You will build and ship product features across the stack for an AI agent platform while working closely with the founding team. The role involves rapid prototyping, iterating based on pilot customer feedback, and contributing to product direction.

Requirements overview

The ideal candidate is a fresh graduate or early-career engineer with a strong portfolio of projects and solid engineering fundamentals. You must be a passionate builder who is comfortable working in a fast-paced, ambiguous environment.

Key skills

Artificial IntelligenceLLMsVoice AISoftware EngineeringPrototypingFull Stack DevelopmentProduct DevelopmentAgentic AICoding Tools

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About Embedding VC

Industry

Venture Capital and Private Equity Principals

Employees

18

Type

Partnership

Size

2-10 employees

Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.

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Job categories

TechnologySoftwareEngineeringData & Analytics

Description

About Lingopal Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform aimed at enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies. About the Role We're looking for an early-career AI Engineer — a fresh grad or someone with limited professional experience but an unmistakable passion for building. You'll work alongside our founding team and Tech Lead on our new AI agent product, ship real features quickly, and be encouraged to form and voice your own opinions about where the product should go. What You'll Do - Build and ship product features across the stack on our new AI agent product. - Prototype fast, learn from pilot customers, and iterate. - Bring your own point of view on product direction — we want engineers who think like owners, not ticket-takers. - Work hands-on with LLMs, agents, and voice AI, and use modern AI coding tools daily. What We're Looking For - Fresh grad or early-career engineer with limited professional experience. - A passionate builder — a portfolio of projects, side-projects, hackathons, or open source that shows you love to make things. - Solid engineering fundamentals and eagerness to learn fast. - Own opinions on product and a strong sense of ownership. - Comfortable with ambiguity and a fast, low-process environment.

Requirements

  • Artificial Intelligence
  • LLMs
  • Voice AI
  • Software Engineering
  • Prototyping
  • Full Stack Development
  • Product Development
  • Agentic AI
  • Coding Tools

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