AI Engineer
Core
Building neuron™, an AI-native platform for data center observability that processes real-time telemetry to automate power operations and provide situational awareness.
Role type
Applied AI/ML Engineer (Infrastructure)
Builds
AI-powered observability platform, multi-agent orchestration systems, and automated workflows for data center operations.
Domain
Data Center Infrastructure / Industrial Telemetry / Applied AI
Deliverable
production ML models
Required skills
Python, LLM API integration, agentic system design, software engineering fundamentals, ML research translation, data pipeline construction
Preferred skills
Time-series modeling, LLM fine-tuning, LangGraph/LangChain, PyTorch, GCP Vertex AI, BMS/OT protocols, DevOps
Technologies
Python, LLM APIs, LangGraph, LangChain, PyTorch, vLLM, GCP Vertex AI, Niagara, BACnet, Modbus
Responsibilities
Design and maintain AI-powered automation workflows, integrate and optimize LLM APIs, build retrieval and knowledge-augmentation pipelines, develop evaluation frameworks for AI systems, implement monitoring and debugging for AI, synthesize research into practical experiments, contribute to AI architecture decisions. (via careerplan.io/jobs/e88561b8-6728-4de7-afa9-0933a36fd9d5-ai-engineer-at-teserac-inc)
Seniority
Junior to Senior, hands-on IC
