Senior Full-Stack Developer, Product Manager, AI Artist

• AI Technology & Engineering Implementation

  • Large Language Model Principles: Transformer, Attention, MoE, Tokenization, Embedding
  • Prompt Engineering: Few-shot, CoT, ReAct, and other methodologies
  • Agent Architecture: Reactive/Deliberative/Hybrid models, including task planning, memory management, and human-in-the-loop collaboration
  • RAG & Knowledge Engineering: Cleaning, chunking, retrieval, reranking, citation, updates, and quality evaluation
  • Tool Use & System Integration: Function Calling, MCP, closed-loop integration with business APIs/databases
  • Prototyping & Validation: Coze, Dify, ComfyUI + Python, LangChain, FastAPI

• Product Strategy & Commercialization

  • Product Strategy & Roadmap: 0-1 positioning, version planning, milestone breakdown, phase acceptance
  • User Research & Requirements Management: Scenario interviews, requirement abstraction, backlog governance, value/cost/risk prioritization
  • PRD & Solution Design: Business processes, state transitions, information architecture, exception and boundary strategies
  • Metrics & Experimentation: North Star metrics, AARRR funnel, A/B testing, attribution analysis
  • Commercialization & Value Management: Model selection and routing (balancing quality/speed/cost/compliance), ROI and payback period analysis
  • ToB Solution Capabilities: Customer segmentation, permission models, capability boundary design under private deployment constraints

• Cross-Domain Collaboration & Governance

  • Data-Driven Iteration: Event tracking design, analytical insights, feedback loops
  • Cross-Team Project Management: Coordination across algorithm, R&D, data, and business teams to ensure stable delivery of complex projects
  • Risk & Compliance Governance: Content safety, data permissions, risk control gateways, canary release strategies