Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI)
Core
Defines ontology schemas and builds knowledge graphs to make simulation product surfaces AI-accessible for agentic systems.
Role type
Senior IC AI Full Stack Engineer (Ontologies & Knowledge Graphs)
Builds
Structured, typed interfaces and knowledge graphs exposing product capabilities to AI agents
Domain
Simulation software / Agentic AI / Physical AI
Deliverable
production ML models
Required skills
Python, REST APIs, Graph databases (RDF, OWL, property graphs), Agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), LLM context/tooling, Systems thinking
Preferred skills
Vector databases, Agent-tool interface development, Parsing structured file formats, CAE/FEA/CFD, Surrogate modeling
Technologies
Python, RDF, OWL, LangChain, LangGraph, AutoGen, CrewAI
Responsibilities
Define and maintain ontology schemas for product capabilities; Build and maintain knowledge graphs over documentation and data; Write connectors to product APIs and data layers; Implement retrieval and context layers; Translate simulation workflows into discrete callable operations; Review ontologies for agentic-readiness