全栈开发工程师-模型数据
Core
Building a full-stack platform for AI data production, including human-in-the-loop annotation, AI-synthetic data generation, and machine-assisted labeling to ensure data quality and efficiency.
Role type
Senior Full-Stack Engineer (AI Data Infrastructure)
Builds
Scalable data production pipelines, high-performance annotation interfaces, and AI-native engineering tools (MCP, Agents).
Domain
Artificial Intelligence / Data Engineering
Deliverable
production ML models
Required skills
TypeScript/JavaScript, React/Vue, Go/Python/Java, CI/CD, Docker/K8s, MCP/Agent development, AI tooling proficiency
Preferred skills
AI-Native development practices, complex Web application architecture, BFF/GraphQL/RESTful API design
Technologies
TypeScript, JavaScript, React, Vue, Go, Python, Java, Node.js, Docker, Kubernetes, MCP, Agents
Responsibilities
Design and implement scalable data production workflows covering human and AI annotation; develop high-quality frontend interfaces and robust backend services; integrate LLM capabilities into platform components for dynamic orchestration.
Seniority
Senior, hands-on IC
