Software Engineer, Agent
AI summary of the role
OpenArt, an AI storytelling and visual creation platform used by millions, is hiring a full-stack engineer to build the agent layer behind its next-gen creative products, starting with Director.
What you’ll do
- Build and extend the agent harness for conversational and autonomous creative workflows: tool use, context/memory, multi-step planning, sub-agent orchestration.
- Develop MCP servers and CLI-based agent tooling connecting agents to internal services, model vendors, and creative asset pipelines.
- Author reusable Agent Skills and structured workflows for complex creative tasks like scene planning, storyboarding, and revision loops.
- Contribute to evaluation frameworks and observability to catch regressions before users do.
What you’ll bring
- 2+ years of full-stack engineering experience shipping production software.
- Hands-on experience building LLM-powered agents or applications used by real users.
- 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.
Technologies
LLM agents · MCP servers · CLI tooling · React · Next.js · Claude Code · Codex · Cursor · Claude Agent SDK · LangGraph
About Embedding VC
Early-stage AI fund and venture studio investing $100K-$1M checks and incubating new AI-native startups through a hands-on founder residency.
Bootstrapped
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 t [... source excerpt omitted ...] hat 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 Yo [... source excerpt omitted ...] ision 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 ex
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