Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI)
Candescent (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 18–35 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About 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.