Software Engineer

About the role

We're hiring engineers to build the agent layer behind the 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.

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.

🛠 What You’ll Do

Build and extend the agent harness that powers of 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 our 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 modelling 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 behaviour 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 our 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.