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Multi-Regional Context Engineer (RAG / Knowledge Base)

Remote in Dallas, TX, US • Posted 6 hours ago • Updated 2 hours ago

Contract W2

12 Months

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Knowledge Base
Artificial Intelligence
Auditing
Lifecycle Management
Promotions
Python
RF
Telecommunications
Vertex
Workflow
Context Engineer
RAG
recall@k
precision@k
Vertex AI Vector Search
Pinecone
Weaviate
OpenSearch

Summary

W2 Contract

Dallas,TX /Remote

Mission: Design and operate a multi-region Knowledge Base (KB) architecture with regional overlays, strong retrieval
accuracy, SME validation workflows, and shared support for both NB and MODS.

Key Responsibilities:
Build and implement KB architecture with base layer and regional overlays
Seed KB across 12 regions
Develop ingestion pipelines from structured docs to embeddings and retrieval-ready content
Implement approval and promotion workflow (draft approved live)
Maintain retrieval quality metrics and KB integrity
Add MOD-specific overlays

Must-Have Skills:
4 6 years of experience in RAG and vector search systems
Experience building multi-tenant and multi-region retrieval architectures
Familiarity with Vertex AI Vector Search, Pinecone, Weaviate, and OpenSearch
Strong understanding of retrieval metrics such as recall@k, precision@k, and MRR
Python and document ingestion pipeline experience

Nice-to-Have Skills:
KB lifecycle management and audit workflows
Human-in-the-loop workflows
Telecom / RF familiarity

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097274
Position Id: 9004124
Posted 6 hours ago

Contact the job poster

Nikhil Gabriel

Techincal Recruiting Manager @ Donato Technologies Inc

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