About this opportunity
Digital Iron lists this AI Backend Engineer - Data & Integration opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
At Digital Iron, we're building the intelligent infrastructure that powers predictive maintenance and parts procurement automation across the heavy equipment ecosystem. We work with customers to transform how industrial equipment is maintained.
We're looking for an AI Infrastructure Engineer who combines deep technical expertise in distributed systems with strategic thinking about integration architecture. You'll need exceptionally high standards for data accuracy, first-principles problem solving, and an obsession with building systems that scale across diverse partnership models.
As our first dedicated infrastructure engineer, you'll work on problems at the intersection of knowledge graphs, real‑time IoT data, and enterprise integration—building infrastructure that thousands of businesses will depend on.
What You’ll Own
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
What You’ll Do
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. Build ingestion pipelines that parse customer data and extract compatibility relationships. Implement graph traversal algorithms for multi‑hop reasoning.
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.
What We’re Looking For
Graph & Semantic Systems
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)
Nice‑to‑Haves
Experience in automotive, heavy equipment, or industrial IoT domains
Experience with embedded/white‑label integration models or AI agent frameworks
A network of sec‑ops and ML compliance resources and colleagues to tap as we scale our team
Experience working with founders to evaluate integration architectures across different partnership strategies (deep embedded, best‑of‑breed SaaS, data layer only)
This Role Is NOT For You If:
You’re more comfortable with Kubernetes and Terraform than APIs and databases
You view integration work as "plumbing" rather than strategic architecture
Leadership & Team
You will have one staff‑level engineering direct report with dotted lines across a team of engineers. You will be expected to deliver 80% hands‑on code development with 20% oversight across our vendors, strategy and a direct report. We can be flexible on title for the right candidate.
Location
US (NY, VT, ME, MA, CT, DC, VA, NC, GA only)
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.