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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 is a product-and-systems role where you'll build on and extend the agent harness, develop MCP servers and CLI tooling, and ship frontend experiences.
Responsibilities
- 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.
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.
- 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).
Skills
- React
- Next.js
Location
- Bay Area (hybrid available)
Work Type
- Hybrid
Experience Level
- 2+ years of full-stack engineering experience
Salary/Compensations
- $300k+ total compensation including base salary, bonus, equity.
Benefits
- Equity — meaningful ownership in what you build.
- High autonomy, high growth environment.
About the Company
- 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.