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Powertown

AI Engineer

  • Seen live on Powertown's site yesterday
  • Mid level
Pay
Not stated
Location
Boston
Open for
6+ days
First seen
Oct 29, 2026

Posting record

No flags

Open 6+ days

The posting's record, oldest first
  1. Powertown's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Powertown, so its true age is longer.

Last checked Nov 3, 2026.

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What the posting discloses

AI screening
Uses AI to screen applicants
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 (quoted from the posting)

Not stated: Pay, real vacancy.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

Something wrong with this posting?