Field AI Engineer for Industrial Plant Deployments

Axilon; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Axilon is seeking a Member of Technical Staff, Forward Deployed, to join a small senior team building AI agents for real industrial plants. You will embed with customers, onboard data, run demos and deployments of Prophet, and bring field learnings back to the product.

You will design customer-focused interfaces, collaborate with teams on workshops and training, and translate field feedback into actionable product improvements for scalable deployments.

Qualifications

• 3+ years of full-stack engineering experience embedding with enterprise customers and translating their needs into technical solutions.
• Proficiency in Go and TypeScript with production experience shipping LLM-powered and backend systems.
• Hands-on experience with Docker, cloud platforms (AWS or Azure), graph databases (Neo4j), and data ingestion pipelines.

Responsibilities

• Embed with customers to onboard their data, run demos and POCs, and deploy Prophet across their plants.
• Build integrations with SCADA, PLCs, historians, MES, and ERP/CMMS systems, tuning each deployment to the customer's workflows.
• Design interfaces that industrial operators actually use: clean, simple, and focused on what matters most.
• Run workshops and trainings with customer teams to ensure successful adoption.
• Translate field feedback into actionable product improvements.

Skills

Go

TypeScript

Docker

Cloud (AWS/Azure)

Neo4j

Data pipelines

Full-stack

Travel readiness

Tools

Docker

Neo4j

AWS/Azure

Job description

Axilon is seeking a Member of Technical Staff, Forward Deployed, to join a small senior team building AI agents for real industrial plants. You will embed with customers, onboard data, run demos and deployments of Prophet, and bring field learnings back to the product.

You will design customer-focused interfaces, collaborate with teams on workshops and training, and translate field feedback into actionable product improvements for scalable deployments.