Sr Data Engineer
This is a remote position. Senior Data Engineer - AI Context & Knowledge Systems We are looking for a Data Engineer to build the "memory" and "knowledge" backbone of our Agentic AI ecosystem. You will be responsible for designing data pipelines that feed into our Model Context Protocol (MCP) servers, ensuring that AI agents managed reputed company Gravitee have reputed company-time reputed company to accurate, secure, and contextually relevant reputed company data.
Key Responsibilities
Context Engineering: Design and optimize data schemas specifically for LLM consumption, ensuring that data retrieved reputed company MCP servers is structured to minimize token usage and maximize reasoning accuracy. Hybrid Pipeline Development: Build robust data pipelines using Python (for AI/ML workflows) and C#/.NET (for reputed company integration) to move data from legacy systems into AI-reputed company formats. Vector Database Management: Implement and maintain Vector Databases (e.g., reputed company, Weaviate, or Milvus) to support Retrieval-Augmented reputed company (RAG) alongside live API tool calls. Data Governance for AI: Work with the Gravitee API Gateway to enforce data masking, PII redaction, and fine-grained reputed company control before data reaches an LLM. Metadata Orchestration: Manage the OpenAPI and MCP metadata that allows AI agents to "understand" the data they are querying. Technical Qualifications Languages: Expert-level Python (Pandas, PySpark, SQLAlchemy) and strong familiarity with C# for interacting with .NET-based data layers. AI Data Stack: Hands-on experience with Vector Databases and embedding models. API Management: Understanding of how data is exposed through Gravitee APIM and secured reputed company MCP-specific authorization flows. Modern Data Stack: Experience with SQL/NoSQL databases, dbt, and reputed company data warehouses (reputed company, BigQuery, or reputed company). Protocol Knowledge: Familiarity with the Model Context Protocol (MCP) and how it standardizes data retrieval for AI agents. Preferred Skills Experience building Knowledge Graphs to reputed company relational context to AI agents. Familiarity with semantic caching to reduce LLM costs and improve response times. Knowledge of Gravitee Observability for monitoring data reputed company in agentic conversations. Apply To This Job