Electrical Services

AI Engineer

Boston, MAOnsiteFull TimePosted 16 days ago

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Required skills

AI Engineer
map-based intelligence
battery storage development
infrastructure data
signals
product advantage
living map of opportunity
land data
grid data
utility data

Nice to have

geospatial systems
infrastructure datasets
energy markets
site selection
ranking systems
AI-assisted research

Role summary

Powertown is seeking an AI Engineer to develop map-based intelligence for battery storage site selection. This role involves transforming complex infrastructure data into actionable insights and building systems for prospect ranking, enrichment, and explanation. The ideal candidate will leverage AI and data extraction techniques to identify opportunities faster and more effectively than competitors, working with diverse datasets including land, grid, utility, market, and spatial information. This position requires a blend of engineering, data analysis, and strategic thinking to create a machine for opportunity discovery, moving beyond simple dashboard creation.

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

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