AI Data Pipeline Engineer — Geospatial & AI Enrichment

Bespoke Technologies, Inc.

Reston, Northern (VA, KY)

Ibrido

USD 140.000 - 210.000

Tempo pieno

44 ore fa
Candidati tra i primi

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Descrizione del lavoro

Bespoke Technologies, Inc. is seeking a skilled AI/Data Platform engineer in Reston, VA to design and implement data pipelines, geospatial data workflows, and AI-enabled cataloging solutions.

The role requires active Poly clearance; candidates without Poly will not be considered. Responsibilities include building readers, metadata enrichment, and event pipelines to orchestrate data ingestion, leveraging RAG and MCP with LLMs, and developing Node.js apps connected to Oracle Databases.

Competenze

  • Experience working with geospatial data types (rasters and vectors).
  • Experience building data pipelines to integrate data from multiple sources, including designing readers and metadata enrichment (providence, lineage, security).
  • Designing and implementing event pipelines for data cataloging across data types (extraction, normalization, enrichment, ingestion).
  • Leveraging AI to enhance data extract, enrichment, catalog, and discovery capabilities.
  • Experience designing and building AI agents.
  • Integrating mission data with LLMs using RAG and MCP.
  • Designing and building Node.js applications and dashboards connected to Oracle Databases.
  • Experience with OpenAI Codex.

Conoscenze

Geospatial data types
Data pipelines
Metadata enrichment
Event pipelines
AI agents design
RAG MCP integration
Node.js dashboards
OpenAI Codex

Strumenti

Oracle Databases
Oracle AI Database 26ai
Exadata / OCI Autonomous AI Database
Vector data type

Descrizione del lavoro

Bespoke Technologies, Inc. is seeking a skilled AI/Data Platform engineer in Reston, VA to design and implement data pipelines, geospatial data workflows, and AI-enabled cataloging solutions.

The role requires active Poly clearance; candidates without Poly will not be considered. Responsibilities include building readers, metadata enrichment, and event pipelines to orchestrate data ingestion, leveraging RAG and MCP with LLMs, and developing Node.js apps connected to Oracle Databases.

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