Senior Knowledge Graph Engineer - Graph RAG & Vector Search

Bespoke Technologies, Inc.; Reston (VA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Bespoke Technologies, Inc. is seeking a Knowledge Graph Data Engineer to design and implement data graphs and retrieval pipelines for a LangGraph-driven RAG system.

You will ingest, clean, and index data from multiple sources, preserving provenance in a property graph and building embedding workflows for semantic search. Responsibilities include developing MCP-based tools, integrating Oracle MCP, and evaluating retrieval quality.

Qualifications

• 10+ years of experience relevant to this position.
• Bachelor’s Degree in engineering, Math or computer science. Master’s degree preferred.

Responsibilities

• Build Python pipelines to ingest, clean, chunk, enrich, and index data.
• Model entities and relationships in a property graph, preserving provenance and links to source material.
• Develop entity extraction and resolution workflows that connect information across sources.
• Build embeddings pipelines and maintain vector indexes for semantic search.
• Implement hybrid retrieval that combines vector search, keyword search, graph traversal, and database queries.
• Develop and integrate MCP servers and tools that expose vector search capabilities to a LangGraph agent.
• Integrate the Oracle MCP server so the agent can query relevant database data.
• Apply graph algorithms to identify connections and improve retrieval.
• Collaborate with application engineers and stakeholders to turn use cases into graph models, retrieval workflows, and agent tools.
• Evaluate graph quality, retrieval relevance, answer grounding, and pipeline reliability.

Skills

Python pipelines

Graph data modeling

Embeddings / vector search

Cloud fundamentals

Data structures & algorithms

Communication & decisions

Retrieval augmented generation

Oracle Cloud Infrastructure

LangGraph

MCP servers/tools

Education

Bachelor's degree in engineering/CS

Master's degree preferred

Tools

Oracle OCI

Oracle Database

Oracle Property Graph

LangGraph

MCP

CI/CD

Containers

Infrastructure as Code

Job description

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

We are seeking a highly experienced and motivated Knowledge Graph Data Engineer to build the data and retrieval foundation for a Graph RAG application. The system combines a property graph, vector search, and database queries with a LangGraph agent. You will help turn information from multiple sources into reliable graph data and make it accessible through retrieval APIs and MCP tools.

Role Description:

• Build Python pipelines to ingest, clean, chunk, enrich, and index structured and unstructured data.
• Model entities and relationships in a property graph, preserving provenance and links to source material.
• Develop entity extraction and resolution workflows that connect information across sources.
• Build embedding pipelines and maintain vector indexes for semantic search.
• Implement hybrid retrieval that combines vector search, keyword search, graph traversal, and database queries.
• Develop and integrate MCP servers and tools that expose vector search capabilities to a LangGraph agent.
• Integrate the Oracle MCP server so the agent can query relevant database data.
• Apply graph algorithms to identify connections and improve retrieval.
• Evaluate graph quality, retrieval relevance, answer grounding, and pipeline reliability.
• Collaborate with application engineers and stakeholders to turn use cases into graph models, retrieval workflows, and agent tools.
• Required qualifications
• Strong computer science fundamentals, including data structures, algorithms, software design, and testing.
• Proficiency in Python and experience building maintainable data pipelines or backend services.
• Working knowledge of cloud fundamentals, including compute, storage, networking, security, and deployment.
• Hands-on experience with property graph modeling, queries and traversals, and graph algorithms.
• Experience with embeddings, vector indexes, and semantic or hybrid search.
• Understanding of retrieval-augmented generation and how to evaluate the quality of retrieved context.
• Ability to work with inconsistent or incomplete data and communicate technical decisions clearly.

Preferred qualifications:

• Experience with Oracle Cloud Infrastructure (OCI), Oracle Database, or Oracle Property Graph.
• Experience building agents with LangGraph or a similar framework.
• Experience developing or integrating Model Context Protocol (MCP) servers and tools.
• Familiarity with entity resolution, information extraction, or knowledge graph construction.
• Experience with CI/CD, containers, infrastructure as code, and production monitoring.

Required Credentials:

• 10+ years of experience relevant to this position.
• Bachelor’s Degree in engineering, Math or computer science. Master’s degree preferred.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone

Country *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School Select...

Degree Select...

Select...

End date month Select...

End date year

Select...

Will you now or in the future require employment visa sponsorship? * Select...

Do you have an active Poly security clearance? * Select...

What is your Poly Type? * Select...

Do you live within the Virginia, Maryland, or DC area? * Select...

There is no option for remote work and all support is fully on-site. Which location do you prefer? *