AI Backend Engineer - Data & Integration
Core
Designing and building scalable AI infrastructure for predictive maintenance and parts procurement automation in the heavy equipment industry, focusing on knowledge graphs, real-time IoT data, and enterprise integration.
Role type
Senior AI Infrastructure Engineer (Data & Integration)
Builds
Intelligent infrastructure for predictive maintenance and parts procurement automation
Domain
Heavy equipment / Industrial IoT / Enterprise Integration
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, Knowledge graph design, Ontology modeling, Event-driven architecture, API integration design, Agentic workflow orchestration, Graph traversal algorithms, Semantic query languages, Entity resolution, Cloud-native deployment patterns
Preferred skills
Experience with white-label SaaS models, iPaaS middleware, Federated identity strategies, On-premise/hybrid deployment
Technologies
AWS Neptune, Amazon Bedrock, Gremlin, SPARQL, OAuth 2.0
Responsibilities
Design bi-directional integrations with customer ERP and telematics platforms; Build semantic networks from parts catalogs using graph databases; Develop AI agent orchestration for multi-step workflows; Define authentication strategies for diverse customer security models; Create deployment patterns for on-premise, cloud, and hybrid environments; Evaluate architectural tradeoffs for partnership models
Seniority
Senior, hands-on IC
