Software Engineer, Agent

Explicitly builds agent-driven “vibe” experiences and expects AI-assisted coding; works with agent orchestration and model vendors to enable creative workflows., * Build and extend the agent harness powering conversational and autonomous creative workflows: tool use, context/memory management, multi-step planning, and sub-agent orchestration.

• Develop and maintain MCP servers and CLI-based tooling that connect agents to internal services, external model vendors, and creative asset pipelines.
• Author reusable Agent Skills and structured workflows to handle complex multi-step creative tasks (scene planning, storyboarding, asset generation, revision loops).
• Contribute to evaluation frameworks and observability to detect regressions and measure agent performance.
• Ship polished production frontend experiences (React/Next.js) end to end for agent-driven products.
• Make pragmatic trade-offs between speed, correctness, and scalability and communicate trade-offs clearly.
• Partner with product, design, and GTM teams to translate user needs into technical solutions.

• 2+ years of full-stack engineering experience shipping production software.
• Hands-on experience building LLM-powered agents or agent applications that reached real users (beyond prototypes).
• 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.
• Strong AI-assisted coding practice using tools like Claude Code, Codex, or Cursor.
• Product sense for creating trustworthy and delightful agent experiences.
• Clear communication skills for explaining agent behavior and technical trade-offs to non-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 LLM evaluation/observability tooling.
• Hands-on experience with image/video generation models.
• Startup / 0-to-1 product experience., Full-stack development Agent/LLM application development Data modeling and schema design Product sense AI-assisted coding Communication Observability and evaluation Frontend development System ownership Scalability and trade-off decision-making

• Total compensation: $300K - $400K (stated range); $300k+ total compensation also mentioned.
• Equity and meaningful ownership in what you build.
• Bay Area preferred; hybrid available. Visa sponsorship available.
• High autonomy, founder-led engineering culture.

What Success Looks Like in 3-6 Months

• Ship a production agent workflow used by real users inside OpenArt’s ecosystem.
• Improve part of the harness, Agent Skills, or evaluation loop with measurable impact.
• Own a component of the agent stack end to end and be the go-to person for it.
• Establish a tight feedback loop with design, founders, and users and propose proactive improvements.