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CHI Software
Open role>14 days

Knowledge Graph / Semantic Engineer

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Role description

About the Project

Join a Pharma industry initiative building a platform where AI agents work directly with enterprise data - turning business questions into SQL queries, surfacing insights, and delivering answers through an agentic interface. This project sits at the intersection of data engineering and AI engineering: you'll build the infrastructure that lets agents talk to Snowflake in natural language, as part of a real production platform rather than a prototype or demo.

Requirements

  • Strong Python backend development skills
  • Proficient in Semantic Web technologies (RDF, OWL, SPARQL or similar)
  • Proven track record building Knowledge Graphs and semantic data layers
  • Hands-on with graph databases (Neo4j or similar)
  • Skilled in semantic search and retrieval architectures
  • Familiar with integrating AI agents into enterprise systems (MCP or similar approaches)
  • Comfortable with Prompt Engineering and Agentic AI workflows
  • Working knowledge of Snowflake or similar cloud data platforms
  • Capable of integrating enterprise data sources into a unified platform
  • Solid understanding of APIs, CI/CD, and cloud-native engineering

Nice to Have

  • GraphRAG
  • Event-driven integration patterns
  • Life Sciences / Pharma industry background
  • Enterprise AI platforms and agent frameworks