---
title: 'Software Engineer, Agent at Embedding VC'
canonical: 'https://feeny.ai/job/software-engineer-agent-embedding-vc-san-francisco-b6gjwsa8j7qj'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer, Agent at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/5d382f97-5444-45b6-b491-140e88d151a7

## Job description

🎨 About OpenArt

OpenArt is an AI storytelling and visual creation platform used by millions of creators worldwide. We're building the next generation of creative tools powered by cutting-edge AI — enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination.

We believe the future of creativity is AI-native, and we're shaping that future.

🚀 Why Join OpenArt

- Ground floor of a new category — help define what "agent" means for creative work, the way Director redefined what "directing" means for video.
- Small team, massive surface area — engineers own real systems end to end, not slices.
- Real scale, real stakes — your agents run for millions of creators, and what you ship shows up in the product within days.
- Founder-led engineering culture — both founders are technical and deeply involved in product and architecture.
- AI-native product — you'll help decide how frontier models get orchestrated and exposed as experiences that feel effortless rather than technical.
- High ownership, low process — we value judgment, clarity, and speed over bureaucracy.

🎯 About the Role

We're hiring engineers to build the agent layer behind OpenArt's next generation of creative products, starting with Director — which lets anyone "vibe direct" a multi-minute cinematic video by chatting with AI. You'll be building the agent infrastructure that pushes experiences like this further: longer-horizon planning, tool use across multiple model vendors, memory across sessions, and the harness that keeps all of it reliable in production.

This isn't a research role — it's a product-and-systems role. You'll build on and extend the agent harness (tool use, context management, multi-step planning, evaluation), develop the MCP servers and CLI tooling around it, and ship the frontend experiences that make all of it feel effortless rather than technical. You'll work closely with the founders, the agent team, and design to turn "what should this agent be able to do" into a system that actually does it — reliably, at scale.

🛠 What You'll Do

- Build and extend the agent harness that powers OpenArt's conversational and autonomous creative workflows: tool use, context/memory management, multi-step planning, and sub-agent orchestration.
- Build and maintain MCP servers and CLI-based agent tooling that connect our agents to internal services, external model vendors, and creative asset pipelines.
- Author reusable Agent Skills and structured workflows that let agents reliably handle complex, multi-step creative tasks — scene planning, storyboarding, asset generation, revision loops.
- Contribute to evaluation frameworks and observability so the team knows when an agent is working well, and can catch regressions before users do.
- Ship polished, production frontend experiences (React/Next.js) for agent-driven products, end to end.
- Make pragmatic trade-offs between speed, correctness, and scalability — and communicate them clearly.
- Partner closely with product, design, and GTM to translate user needs into technical solutions.
- Track the fast-moving agent ecosystem (MCP, Agent Skills, orchestration frameworks) and bring the best of it into OpenArt's stack.

⚙ What We're Looking For

Core Requirements

- 2+ years of full-stack engineering experience shipping production software.
- Hands-on experience building LLM-powered agents or applications that have reached real users — not just prototypes or demos.
- Working familiarity with agent harness concepts: tool use, context/memory management, multi-step planning, or sub-agent orchestration.
- Solid data modeling and schema design skills for real product use cases.
- A strong AI-assisted coding practice — you use tools like Claude Code, Codex, or Cursor as a core part of how you build, and have real opinions about what makes them work well.
- Product sense — you think about what makes an agent experience feel trustworthy and delightful, not just functional.
- Clear communication — you can explain agent behavior and technical trade-offs to teammates who aren't engineers.

## Nice to Have

- Experience authoring reusable Agent Skills or structured agent workflows.
- Practical experience building MCP servers or CLI tooling for agents.
- Exposure to agent orchestration frameworks (Claude Agent SDK, LangGraph, or similar) or LLM evaluation / observability tooling.
- Hands-on experience with image / video generation models.
- Startup experience, or having built something 0 to 1 (side projects count).

💰 Compensation

- $300k+ total compensation including base salary, bonus, equity.
- Equity — meaningful ownership in what you build.
- High autonomy, high growth environment.

🌍 Work Setup

- Bay Area preferred (hybrid available).
- Visa sponsorship available.

🎯 What Success Looks Like in 3–6 Months

- You've shipped a production agent workflow inside OpenArt's ecosystem, and real users are running it.
- You've meaningfully improved a piece of the harness, a set of Agent Skills, or the eval loop — and can point to the metric that moved.
- You own at least one part of the agent stack end to end and are the go-to person for it.
- You've formed a tight feedback loop with design, founders, and real users.
- You're proposing improvements and catching problems early, not just executing on specs.

If you want to build the agents that turn frontier models into creative tools millions of people use — and grow fast while doing it — we'd love to talk.

## About Embedding VC

## Company Overview
- **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries.
- **Entity Type**: Private (Venture Capital Firm)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2023
- **Founders**: Roger Luo (Founder & Managing Partner)

## Core Business
- Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence
- Target customers: Early-stage Generative AI startups (Seed and Series A)
- Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations.

## Products & Services
- **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social.
- **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators.

## Market Standing
- **Valuation/Market Cap**: Not applicable (Venture Capital firm)
- **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months.
- **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures.
- **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026.

## Competitive Advantages
- **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies.
- **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem.
- **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends.

## Strategic Focus
- **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies.
- **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis.
- **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social.

## Why Work Here
- **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership.
- **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position.
- **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself.

## Sources
1. [embedding.vc](https://www.embedding.vc/)
2. [linkedin.com](https://www.linkedin.com/company/embeddingvc)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc)
4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0)
5. [builtin.com](https://builtin.com/company/embedding-vc/teams)

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