Digital Iron · 2 weeks ago
AI Backend Engineer - Data & Integration
United States
Full-time
Remote
Senior Level, Lead/StaffDigital Iron is building intelligent infrastructure for predictive maintenance and parts procurement automation in heavy equipment. They are seeking an AI Infrastructure Engineer to design integration architecture and build systems that leverage knowledge graphs and real-time IoT data.
Artificial Intelligence (AI)Machine LearningSaaS
No H1B
Responsibilities
Design the framework that supports multiple partnership and customer models: Deep Embedded (white-label components), Best-of-Breed SaaS (standalone platform with APIs), Data Layer Only (predictions via API)
Evaluate architectural tradeoffs across complexity, risk, scalability, time-to-market, and value capture for each pattern
Make build vs. buy decisions: direct API integrations vs. iPaaS middleware vs. embedded agents
Define authentication strategies across OAuth 2.0, certificate-based auth, and federated identity for different customer security models
Create deployment patterns that work across on-premise, cloud, and hybrid environments
Design for portfolio risk
Design Integration Architecture Build bi-directional integrations with customer ERP systems and telematics platforms
Architect event-driven systems that turn predictive alerts into automated workflows
Implement multiple integration patterns (Direct API, middleware/iPaaS, embedded agents, webhooks) to support different partnership and customer models
Build Knowledge Graph Systems Transform flat parts catalogs into semantic networks using AWS Neptune
Design ontologies that capture ACES (fitment) and PIES (attributes) standards for heavy equipment
Build ingestion pipelines that parse customer data and extract compatibility relationships
Implement graph traversal algorithms for multi-hop reasoning ("find compatible substitute parts in stock")
Develop Agentic Workflows Create AI agent orchestration using Amazon Bedrock that breaks complex requests into multi-step workflows
Build tool functions agents invoke: graph queries, customer API calls, inventory checks, order placement
Implement GraphRAG systems that ground LLM responses in structured graph data to prevent hallucination on critical fitment recommendations
Qualification
Required
Experience with graph databases (Neptune, Neo4j) and ontology design
Ability to model complex domain relationships as graph structures
Understanding of semantic query languages (Gremlin, SPARQL) and entity resolution
Strong Python for data pipelines, graph operations, and application logic
Experience with database design across relational and graph paradigms
Background normalizing data from disparate sources with conflicting formats
Track record designing bidirectional API integrations with enterprise systems
Experience with event-driven architectures, webhooks, and async workflows
Knowledge of authentication models (OAuth 2.0, SAML, certificate-based)
Strong experience normalizing data from disparate sources with conflicting formats
Obsession with accuracy where 99% is insufficient—compatibility data must be correct
Experience building automated validation and conflict resolution systems
Ability to model complex business domains (you'll learn heavy equipment specifics)
Preferred
Experience in automotive, heavy equipment, or industrial IoT domains
Experience with embedded/white-label integration models or AI agent frameworks
Knowledge of industry standards (ACES, PIES, OAGIS) or similar B2B data formats
A network of sec-ops and ML compliance resources and colleagues to tap as we scale our team
TypeScript for backend services and integration middleware
Experience working with founders to evaluate integration architectures across different partnership strategies (deep embedded, best-of-breed SaaS, data layer only)
Company
Digital Iron
Gen AI for Materials Machinery Customer Services & Parts Platform
Founded in 2023
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$2.15MKey Investors
Seedcamp
2024-06-23Pre Seed· $2M
2024-01-08Pre Seed· $0.15M
Leadership Team
Ciaran Gillen
Founder
Recent News
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