AI Engineer, Ontologies & Knowledge Graphs
Cadence - Michigan, United States
Hiring: AI Engineer, Ontologies & Knowledge Graphs Company: Cadence Location: Michigan, United States Job Posted Time: 2026-09-16 23:20:17 Target Skills & Keywords : Data Pipeline, ELT, ETL, LLM, LangChain, Python, RAG, REST About the job Required Skills: •Build ETL/ELT pipelines that extract data from source code, APIs, file formats, and documentation and load it into a structured knowledge store. •Design and maintain schemas and semantic data models capturing entities, relationships, and capabilities. •Construct and maintain knowledge graphs over heterogeneous product data. •Develop source and metadata parsers (including source-code/AST parsing) to extract structure automatically. •Build typed programmatic interfaces and data-access layers over the knowledge layer. •Implement retrieval and indexing layers (e.g., embeddings, RAG) over product knowledge. •Interface directly with domain engineers to decompose complex product workflows into discrete, callable operations. •Assess data sources for coverage, quality, and schema completeness across multiple products. Qualifications: •BS/MS in Computer Science, Mechanical Engineering, or similar. •Strong Python; experience building and consuming REST APIs. •Operational familiarity with graph databases and/or semantic/ontology modeling (RDF, OWL, property graphs, or equivalent). •Understanding of how LLMs consume context and call tools (retrieval, RAG, embeddings). •Exposure to CAE/FEA/CFD or a related physical-simulation or engineering domain. •Comfortable working within unfamiliar or undocumented codebases. •Systems thinker — able to decompose a complex legacy workflow into discrete, callable steps. •Data-access and API interface development. •Surrogate modeling or related numerical methods. •Deep or specialist domain expertise beyond working familiarity — domain engineers provide that. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!