Tasks:
- * Build data ingestion, upload, processing, management, search, and visualization systems
- * Build metadata, tagging, data quality, dataset, and versioning capabilities
- * Develop frontend, backend, APIs, and business workflows
- * Develop robot data collection pipelines and platforms
- * Develop task management, status monitoring, exception handling, and data dashboards
- * Integrate AI agents with data query, analysis, tool calling, and workflow orchestration
- * Integrate and manage multimodal data
Perks/Benefits:
Skills/Tech stack required:
[Access Control] [AI Agents] [AI coding] [AI Coding Agents] [API Design] [Coding Agents] [Database systems] [Data cleaning] [Data Ingestion] [Data Processing] [Data Quality] [Data Quality Validation] [Data search] [Exception Recovery] [Go] [Java] [Node.js] [Object storage] [Python] [Quality validation] [React] [SQL] [Task processing] [TypeScript] [Vue] [Workflow Orchestration]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Backend Engineer] [Data Infrastructure Engineer] [Data Platform] [Data Platform Engineer] [Engineer] [Frontend Engineer] [Full Stack Engineer] [Infrastructure Engineer] [Platform Engineer] [Stack Engineer]