Senior/Staff Software Engineer, Agent

Lead the design and implementation of OpenArt’s agent architecture, owning end-to-end agent infrastructure (harness, orchestration, memory, evals, tooling) to power large-scale creative AI workflows and ship production frontend experiences., We are hiring a Senior/Staff Software Engineer to lead the agentic architecture for OpenArt’s next generation of creative products. You will own the full agent harness-tooling, orchestration, memory, evaluation, and reliability-and ship production frontend experiences that enable large-scale, long-running creative workflows., * Own the end-to-end architecture of the agent harness powering conversational and autonomous creative workflows: tool use, context/memory management, multi-step planning, and sub-agent orchestration.

• Design long-running planning and execution for creative tasks (scene planning, storyboarding, asset generation, revision loops) across multiple model vendors, with clear failure and recovery modes.
• Build and maintain MCP servers and CLI tooling that connect agents to internal services, external model vendors, and creative asset pipelines.
• Author reusable Agent Skills and structured workflows; define patterns for other engineers to extend the system.
• Build evaluation and observability stacks: automated evals, regression suites, tracing, and quality gates.
• Drive reliability, latency, and cost-per-run as core metrics.
• Ship polished production frontend experiences using React/Next.js for agent-driven products.
• Set engineering standards: architecture reviews, mentorship, and technical direction.
• Track the agent ecosystem (MCP, Agent Skills, orchestration frameworks, model capabilities) and decide what to adopt.
• Partner with founders, product, design, and GTM to translate user needs into technical direction and communicate trade-offs., * A clear, documented agent harness architecture adopted by the team.
• A production agent workflow you designed is running for real users.
• Eval and observability loops catch regressions before users see them.
• Measurable improvements in reliability, latency, or cost-per-run on a key workflow.
• Established feedback loop with design, founders, and users; setting direction for agent engineering.

• 7+ years of full-stack engineering experience shipping and owning production systems at scale.
• 2+ years building LLM-powered agents in production (not just prototypes/demos).
• Deep, hands-on experience with agent architecture: tool use, context/memory management, multi-step planning, sub-agent orchestration, and long-running workflows.
• Experience designing evaluation frameworks and observability for agentic systems.
• Strong system design and data modeling skills; comfortable reasoning about state, schemas, and APIs.
• Experience authoring reusable Agent Skills or equivalent abstractions.
• Demonstrated technical leadership and ability to set architectural direction.
• A strong AI-assisted coding practice (experience with Claude Code, Codex, Cursor, or similar).
• High product sense and strong communication skills., * Practical experience building MCP servers and CLI tooling for agents.
• Experience with agent orchestration frameworks (Claude Agent SDK, LangGraph) 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., Full-stack development System Design Data Modeling Agent architecture Observability Evaluation framework design Technical leadership Product thinking Communication Mentorship Reliability engineering Performance optimization CLI tooling Frontend development

• $500,000+ total compensation (base, bonus, equity).
• Meaningful equity ownership.