AI Engineer
Core
Building intelligent systems at the intersection of applied AI and critical infrastructure, specifically for data center observability and workflow automation.
Role type
AI/ML Engineer (Applied)
Builds
neuron™, a unified AI-native platform for data center observability, intelligence, and workflow automation.
Domain
Data Center Operations / Industrial Telemetry / Applied AI
Deliverable
production ML models
Required skills
Python, software engineering fundamentals (testing, CI/CD), LLM API integration, agentic system concepts, AI-assisted coding tools, ML research synthesis
Preferred skills
agentic frameworks (LangGraph, LangChain), time-series modeling, LLM fine-tuning, PyTorch, cloud ML platforms (GCP), data pipeline construction, domain experience with BMS/OT protocols
Technologies
Python, LLM APIs, LangGraph, LangChain, vLLM, GCP Vertex AI, Niagara, BACnet, Modbus
Responsibilities
Design and maintain AI-powered applications and automation workflows, integrate and optimize LLM APIs, build retrieval and knowledge-augmentation pipelines, develop evaluation frameworks, implement monitoring and debugging for AI systems, synthesize research into practical experiments, contribute to AI architecture decisions
Seniority
Junior to Senior, hands-on IC
