Ground floor of a new category — help define what "agent" means for creative work, the way Director redefined what "directing" means for video. You'll set the architecture everything else is built on.
Own the whole agent layer — not a service, not a slice. Harness, orchestration, memory, evals, tooling: the entire system is yours to design and lead.
Real scale, real stakes — your agents run for millions of creators, and every improvement in reliability, latency, or quality 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 decide how frontier models get orchestrated, constrained, and exposed as experiences that feel effortless rather than technical.
High ownership, low process — we value judgment, clarity, and speed over bureaucracy.
Own the end-to-end architecture of the agent harness that powers OpenArt's conversational and autonomous creative workflows: tool use, context/memory management, multi-step planning, and sub-agent orchestration.
Design how agents plan and execute long-running creative tasks — scene planning, storyboarding, asset generation, revision loops — across multiple model vendors, with clear failure modes and recovery paths.
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, and define the patterns other engineers use to add new ones.
Build the evaluation and observability stack — automated evals, regression suites, tracing, and quality gates — so the team knows when an agent is working well and catches regressions before users do.
Drive reliability, latency, and cost per successful run as first-class metrics, not afterthoughts.
Qualification
Experience with guardrails
Required
Experience authoring reusable Agent Skills, structured agent workflows, or equivalent abstractions that other engineers build on.
Demonstrated technical leadership — you've set direction for a system or team, and people follow your architectural calls because they've been right before.
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.
High product sense — you think about what makes an agent experience feel trustworthy and delightful, not just functional.
Strong communication skills — you can explain agent behavior and technical trade-offs clearly to founders, designers, and non-technical teammates.
Practical experience building MCP servers and CLI tooling for agents.
Experience with agent orchestration frameworks (Claude Agent SDK, LangGraph, or similar) and LLM evaluation / observability tooling.
Hands-on experience with image / video generation models and creative asset pipelines.
Experience with guardrails, safety, and cost controls for autonomous systems.
Startup experience or ownership of a product surface from 0 to 1.
$500k+ total compensation including base salary, bonus, equity.
Equity — meaningful ownership in what you build.
Preferred
🎯 What Success Looks Like in 3–6 Months
If you want to lead the architecture that turns frontier models into creative agents millions of people use — and own it from day one — we'd love to talk.
