Staff Software Engineer, Energy Intelligence

Summary of Role

Come build the software and data layer that helps make energy cleaner and cheaper for millions of homes: turning fragmented, real-world energy data into structured, trustworthy intelligence that our products, customers, and partners can act on. You'll develop the services, pipelines, and models that estimate how homes use, produce, and pay for energy, and run them as reliable production APIs at scale. The role spans physics-based and machine-learning energy modeling, large-scale geospatial and remote-sensing data processing, utility and grid data processing across every US market, and AI systems where LLM-powered agents extract data from complex source documents with humans in the loop.

Qualifications

• Minimum: Advanced proficiency in Python for production software, with a demonstrated ability to write clean, maintainable, well-tested code and design solid APIs and services.
• Full-stack breadth: comfortable working across a backend and a modern frontend (e.g., React/TypeScript), and the underlying infrastructure. You are a generalist who can pick up whatever the problem needs.
• Hands-on experience building production LLM systems and agents with frameworks like pydantic-ai, LangGraph, or Claude/OpenAI Agent SDKs, including prompting, evals, and extracting structured data from messy, unstructured sources at scale.
• Fluency with agentic coding tools to multiply your impact, used critically: questioning and pressure-testing what they produce and keeping your own judgment in charge.
• Experience building and operating production systems: APIs and services, data pipelines, relational databases (SQL/PostgreSQL), containerization, cloud platforms (AWS/GCP/Azure), and observability, with sound practices (version control, code review, testing, CI/CD).