Senior Staff AI Engineer, Generative AI Platforms

**AI Workflow Engineering:**Build AI-powered workflow systems that help marketing, content, and operations teams automate complex creative and business tasks — from asset generation and campaign operations to research, review, and distribution pipelines. - **Agent Platform Development:**Design and implement multi-agent orchestration infrastructure — state machines, supervisor-executor patterns, task scheduling, memory and knowledge systems, and failure recovery — so that non-technical teams can configure and run their own AI teams. - **Generative Content Pipelines:**Architect end-to-end generative AI pipelines spanning image, video, copy, and multimodal asset generation to support FF's global brand marketing, product launches, and visual storytelling initiatives. - **Tooling & Integration Layer:**Integrate AI tools, MCP-based plugins, and third-party services (OpenRouter, Composio, Claude Code, Cursor, Midjourney, Runway, ComfyUI, and similar) into production-grade workflows that can be safely operated by business users. - **AI-Native Engineering Practices:**Use AI coding tools (Claude Code, Cursor, and equivalents) as your primary development method. Establish engineering workflows, prompts, and patterns that maximize one-engineer throughput through AI-assisted development. - **Business-Aligned Delivery:**Work directly with marketing, content, product, and operations stakeholders to understand pain points, translate messy business requirements into clean technical solutions, and measure impact on time-to-ship, content quality, and operational cost. - **Platform & SOP Thinking:**Design for reuse and scale — build shared components, asset libraries, SOPs, and self-serve tooling so creative and business teams can operate AI systems independently, without engineering bottlenecks. - Innovation & Experimentation:Continuously evaluate emerging models, agent frameworks, and creative AI tools. Prototype rapidly, validate against real business workflows, and bring proven technology into production. Basic Qualifications:

**Education:**Bachelor's degree or above in Computer Science, Electrical Engineering, or a related technical discipline. - Experience: 7-10 years of software engineering experience, with meaningful hands-on work in AI/ML systems, AI agents, or AI-enabled tools and products. - **AI Engineering:**Demonstrated ability to design and ship AI-powered products — not just calling APIs, but building orchestration logic, prompt systems, memory layers, and tool-integration chains. - LLM Fundamentals: Solid understanding of LLM capabilities and boundaries — context windows, prompting patterns (System Prompt, CoT, Few-shot), model selection, and cost/quality trade-offs. - **AI-Assisted Development:**Daily, proficient user of Claude Code, Cursor, or equivalent AI coding tools. Able to clearly demonstrate how these tools multiply your engineering output. - **Business Sense:**Comfortable working alongside non-technical teams (marketing, content, product, operations). Strong ability to translate ambiguous business needs into clean engineering solutions and to prioritize based on real-world impact. - **Delivery Track Record:**Has independently shipped at least one complete product, internal platform, or meaningful open-source contribution from idea to production — evidence of end-to-end delivery capability. - Fluency in both English and Chinese due to internal support for Global Team

Ability to work on-site in Los Angeles, CA. Preferred Qualifications:

Experience building multi-agent systems, AI workflow automation platforms, or creative AI production pipelines. - Familiarity with MCP protocol, Composio, Vercel AI SDK, LangGraph, CrewAI, LobeHub, or similar agent frameworks and tool-integration platforms. - Hands-on experience with generative media tools such as Midjourney, Flux, Runway, Pika, Sora, ComfyUI, or Unreal Engine / Blender real-time pipelines. - Full-stack development experience: TypeScript/Node.js, Next.js, or Tauri desktop applications. - Prior experience in marketing tech, creative production, media/entertainment, or other content-heavy industries. - Founding-engineer, solo-builder, or early-stage startup background — comfortable owning a product from zero to launch. - Strong product intuition — able to make UX decisions, prioritize features, and think from the user's perspective without a detailed PRD. - Interest in automotive, robotics, Web3, or autonomous systems, aligned with FF's broader EAI Industry Bridge Strategy.