Software Engineer, Agent

Software Engineer, AgentOpenArt 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 OpenArtGround 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 RoleWe'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 DoBuild 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 orchestrationBuild and maintain MCP servers and CLI-based agent tooling that connect our agents to internal services, external model vendors, and creative asset pipelinesAuthor reusable Agent Skills and structured workflows that let agents reliably handle complex, multi-step creative tasks — scene planning, storyboarding, asset generation, revision loopsContribute to evaluation frameworks and observability so the team knows when an agent is working well, and can catch regressions before users doShip polished, production frontend experiences (React/Next.js) for agent-driven products, end to endMake pragmatic trade-offs between speed, correctness, and scalability — and communicate them clearlyPartner closely with product, design, and GTM to translate user needs into technical solutionsTrack the fast-moving agent ecosystem (MCP, Agent Skills, orchestration frameworks) and bring the best of it into OpenArt's stackWhat We're Looking ForCore Requirements2+ years of full-stack engineering experience shipping production softwareHands-on experience building LLM-powered agents or applications that have reached real users — not just prototypes or demosWorking familiarity with agent harness concepts: tool use, context/memory management, multi-step planning, or sub-agent orchestrationSolid data modeling and schema design skills for real product use casesA 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 wellProduct sense — you think about what makes an agent experience feel trustworthy and delightful, not just functionalClear communication — you can explain agent behavior and technical trade-offs to teammates who aren't engineersNice to HaveExperience authoring reusable Agent Skills or structured agent workflowsPractical experience building MCP servers or CLI tooling for agentsExposure to agent orchestration frameworks (Claude Agent SDK, LangGraph, or similar) or LLM evaluation / observability toolingHands-on experience with image / video generation modelsStartup experience, or having built something 0 to 1 (side projects count)Compensation$300k+ total compensation including base salary, bonus, equityEquity - meaningful ownership in what you buildHigh autonomy, high growth environmentWork SetupBay Area preferred (hybrid available)Visa sponsorship availableWhat Success Looks Like in 3–6 MonthsYou've shipped a production agent workflow inside OpenArt's ecosystem, and real users are running itYou've meaningfully improved a piece of the harness, a set of Agent Skills, or the eval loop — and can point to the metric that movedYou own at least one part of the agent stack end to end and are the go-to person for itYou've formed a tight feedback loop with design, founders, and real usersYou're proposing improvements and catching problems early, not just executing on specsIf 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.