AI & Knowledge Graph Engineer — Data Pipelines

Cadence; Michigan; Presencial; USD 110 000 - 150 000; Tempo integral

Resumo da oferta

Cadence in Michigan is seeking an engineer to build the data and interface layer that makes complex software products programmatically understandable. You will design schemas, construct knowledge graphs, and expose them through clean, typed programmatic interfaces for downstream consumption.

You will build ETL/ELT pipelines, develop parsers for source code and documentation, and implement retrieval and indexing layers (embeddings, RAG) over product knowledge.

Qualificações

• BS/MS in Computer Science, Mechanical Engineering, or similar.
• Strong Python; experience building and consuming REST APIs.
• Experience building data pipelines (ETL/ELT) over structured and unstructured data.
• Familiarity with graph databases and/or semantic/ontology modeling (RDF, OWL, property graphs, or equivalent).
• Experience with at least one agent framework (LangChain, LangGraph, AutoGen, CrewAI, or similar).
• 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.

Responsabilidades

• 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.
• Work with domain engineers to decompose complex product workflows into discrete, callable operations.
• Assess data sources for coverage, quality, and schema completeness across multiple products.

Conhecimentos

Python

REST APIs

ETL pipelines

Graph databases

Semantic modeling

Agent frameworks

LLM context

CAE exposure

Formação académica

BS/MS in Computer Science or related field

Ferramentas

LangChain

LangGraph

AutoGen

CrewAI

RDF/OWL

Descrição da oferta de emprego

Cadence in Michigan is seeking an engineer to build the data and interface layer that makes complex software products programmatically understandable. You will design schemas, construct knowledge graphs, and expose them through clean, typed programmatic interfaces for downstream consumption.

You will build ETL/ELT pipelines, develop parsers for source code and documentation, and implement retrieval and indexing layers (embeddings, RAG) over product knowledge.