Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI)
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Job Description
Structured overview of role & requirementsAbout This Role
Define and maintain ontology schemas representing product capabilities, entities, and relationships relevant to simulation products.
Build and maintain knowledge graphs linking product documentation, APIs, and simulation data, enabling AI accessibility.
Develop structured, typed interfaces and connectors that expose product functions to AI agents, facilitating invocation and retrieval over product knowledge.
Minimum Requirements
6+ years of experience in relevant engineering or AI roles.
Strong proficiency in Python and experience with building and consuming REST APIs.
Familiarity with graph databases or ontology/semantic modeling technologies (e.g. RDF, OWL, property graphs).
Experience with at least one agent framework such as LangChain, LangGraph, AutoGen, or similar.
Ideal Candidate Profile
Experienced in decomposing complex legacy simulation workflows into discrete, callable steps for AI integration.
Comfortable working with unfamiliar or undocumented codebases and writing connectors/parsers for product APIs and data layers.
Has practical understanding of how Large Language Models (LLMs) consume context and invoke tools within AI agent frameworks.