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Job description
About the Role
Join a small, senior engineering team building data and agent infrastructure that helps AI systems interpret industrial plant data. You will own features from backend services through operator-facing interfaces, working with customers to turn real operational needs into platform improvements.
What You'll Do
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j.
Develop parsers and integrations that bring SCADA, PLC, historian, MES, and ERP data into a unified plant model.
Build agent infrastructure and large-scale data ingestion pipelines across AWS and Azure.
Design clear, practical interfaces for industrial operators.
Own features end to end, incorporating customer feedback into product improvements.
Work directly with customers in defense, oil and gas, and agribusiness to validate solutions.
What We're Looking For
At least 3 years of full-stack or backend engineering experience shipping production systems.
Experience delivering backend systems and LLM-powered products in production.
Proficiency with Go, TypeScript, Postgres, or Neo4j, and experience with cloud platforms such as AWS or Azure.
Experience building industrial data parsers and integrations, agent infrastructure, or large-scale ingestion pipelines.
Familiarity with graph databases or retrieval-augmented generation over structured data.
AI coding tools such as Cursor or Claude Code are a core part of your development workflow.
Strong computer science fundamentals, demonstrated through a degree or equivalent experience.
Interest in working directly with industrial customers and designing interfaces for operational environments.
Compensation & Benefits
Salary range: $180,000 to $350,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York.