Senior Graph Retrieval Engineer — Remote

Technical Integrity, LLC

Boulder (CO)

Híbrido

USD 200.000 - 250.000

Jornada completa

hace 39 horas
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Ventajas ofrecidas por este puesto de trabajo

Health benefits
Equity potential
Flexible in-office schedule

Descripción de la vacante

Technical Integrity, LLC in Boulder, CO is hiring a senior staff engineer specializing in knowledge graph retrieval to tackle scaling of enterprise knowledge graphs and intelligent retrieval over large graphs. You will design core retrieval algorithms, build production infrastructure, and collaborate with product teams to deliver real-world solutions for AI agents.

Hybrid work with occasional on-site in Boulder; strong background in graph algorithms, IR, and large-scale systems is required.

Formación

  • Experience with graph algorithms and data structures.
  • Strong knowledge of complexity analysis and optimization.
  • Experience designing data systems and knowledge graphs.
  • Proficient in information retrieval, ranking and evaluation metrics.

Responsabilidades

  • Design and implement core retrieval algorithms.
  • Build production infrastructure (caching, indexing, APIs).
  • Instruments and optimizes performance.
  • Works directly with product to understand use cases.
  • Ships fast, iterates based on user feedback.

Conocimientos

Graph algorithms
Complexity analysis
Data systems
Knowledge graphs
Vector search
NLP for intent
RAG/LLM integration
API design
Python/TS backend

Educación

MS/PhD in CS
BS in CS

Herramientas

Neo4j
Amazon Neptune
GraphQL
PostgreSQL
Vector DBs

Descripción del empleo

Technical Integrity, LLC in Boulder, CO is hiring a senior staff engineer specializing in knowledge graph retrieval to tackle scaling of enterprise knowledge graphs and intelligent retrieval over large graphs. You will design core retrieval algorithms, build production infrastructure, and collaborate with product teams to deliver real-world solutions for AI agents.

Hybrid work with occasional on-site in Boulder; strong background in graph algorithms, IR, and large-scale systems is required.

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