AI / ML Engineer
Core
Design, develop, and deploy scalable AI/ML products and agentic workflows for the utility industry, blending predictive modeling, optimization, and generative reasoning.
Role type
Senior AI/ML Engineer (IC)
Builds
Scalable ML/AI products, agentic architectures, RAG systems, and data processing pipelines for utilities.
Domain
Utility industry (US/Canada) + Generative AI / MLOps
Deliverable
production ML models
Required skills
Python, MLOps, model lifecycle management, cloud infrastructure (Azure/AWS/GCP), distributed computing, database design, agentic AI system design, LLM integration (RAG, LangChain, etc.)
Preferred skills
Utility/energy sector knowledge, Databricks stack expertise, experience with AutoGen/Hugging Face/LlamaIndex
Technologies
Python, Databricks, Azure/AWS/GCP, AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex
Responsibilities
Design and deploy scalable software products incorporating ML/AI models; build reusable Python packages for ML algorithms; develop agentic evaluation and monitoring frameworks; evaluate database design and optimize queries; break down complex MLE tasks into user stories; ensure high-quality test coverage and participate in peer reviews.
Seniority
Senior, hands-on IC
