, tagging, and discoverability. Enable end-to-end lineage (source → transformations → consumption) to support auditability... testing, code reviews, and security practices. Knowledge graph and Graph RAG experience, including: Graph modeling...
assets;and design and implement enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graph... environments - Collaborate across organizational boundaries to secure data access, understand source system context, and resolve...
automatically when a user’s AI agent declares intent to access a data source Build enterprise system connectors as MCP tool sets...: Oracle DB, SharePoint Graph API, Rally, ServiceNow, and a vendor connector approval pipeline with ECR container image...
, and loading structured and unstructured data into downstream RAG databases. This engineer ensures that source data becomes clean.... Establish ingestion standards for source lineage, data freshness, versioning, access controls, and auditability. Implement...
and Classification/Sensitivity, Human Feedback Loop for AI Systems, LLM-as-a-Judge automated evaluation, Providing Citations and Source..., Preserving Source Data Access Controls in AI Systems, Role-Based Access Control for AI Data, Encryption of AI Data at Rest...
Language Models (LLMs). Data Quality & Visualization: Perform data cleaning and quality analysis on source tables. Create..., large language models, graph analytics, relationship discovery, or advanced AI techniques, you'll help build innovative...
with at least two of the following: distributed KV/cache systems, MySQL, distributed databases, graph databases, table storage... in both English and Mandarin. Preferred Qualifications Contributions to technical blogs or open-source projects Awards...
following technologies: Redis/Tair MySQL TiDB MongoDB S3-compatible object storage solutions Graph databases (e.g...., Nebula Graph) Deep understanding of database architecture, performance tuning, transaction management, replication, and high...
Job Qualifications: Skills: All Source Analysis, Data Analytics, Knowledge Management, Standard Operating Procedure (SOP), Workflow..., source evaluation, confidence assessment, and analytic rigor. Work with analysts, data scientists, engineers, and software...
and context strategies that fit the data and task, from structured queries and hybrid search to reranking, graph traversal... on AI-driven products. Contributions to open-source AI, developer tools, evals, retrieval, agents, or applied ML infrastructure...