Software Engineer, Agent
Software Engineer, Agent
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.