AI Engineer

PowerTown; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Powertown is seeking an AI Engineer to build map-based intelligence for battery storage development across the US. The role focuses on turning messy infrastructure data into actionable insights and a product advantage.

You will create workflows and AI-powered systems that rank, enrich, and explain prospective sites, extracting signals from land, grid, utility, market, and spatial data.

Qualifications

• Experience with geospatial systems and spatial data.
• Evidence of initiative through data projects or research.
• Strong analytical and technical abilities.

Responsibilities

• Turn scattered infrastructure data into a map of opportunity.
• Build systems that rank, enrich, and explain prospects.
• Extract signal from land, grid, utility, and market data.
• Use agents to shorten research loops and speed insights.
• Create workflows that highlight hidden opportunities.
• Make maps feel intelligent, not decorative.

Skills

Geospatial analysis

Data interpretation

Machine learning

GIS

Spatial data

Job description

Overview

Powertown is hiring an AI Engineer to build map-based intelligence for battery storage development. This role is for someone who can find signals in messy infrastructure data and turn it into a product advantage. The goal is simple: help Powertown see better sites across the US, faster.

What You'll Do

• Turn scattered infrastructure data into a living map of opportunity
• Build systems that rank, enrich, and explain prospects
• Extract signal from land, grid, utility, market, and spatial data
• Use agents to compress research loops that usually take days
• Create workflows that help the team notice what others miss
• Make maps feel intelligent, not decorative

Preferred Majors

Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Energy Systems, Physics, GIS, or a similarly analytical field with strong technical ability.

Ideal candidate

• You are part engineer, part detective, part strategist
• You enjoy messy data because you know that is where the advantage is. You can look at a map and ask better questions than “what layer should we add?”
• You are not building dashboards. You are building a machine for discovering opportunity

Preferred Qualifications

• Experience with geospatial systems, infrastructure datasets, utility data, energy markets, site selection, ranking systems, AI-assisted research, data extraction, or large messy public/commercial datasets
• Evidence of unusual initiative through shipped projects, research, startup work, competitions, technical writing, or self-directed data products
• Exceptional ability exemplified through personal projects