AI Engineer

Powertown; Boston; On-site; PHP 7,524,000 - 11,285,000; Full time

Job summary

Powertown is seeking an AI Engineer to transform messy infrastructure data into a map-based intelligence platform for battery storage site selection across the US. The role emphasizes discovering opportunities rather than creating dashboards, combining engineering rigor with strategic insight.

You will work with geospatial data, energy market signals, and large public or commercial datasets to build systems that rank and explain prospects, helping the team identify prime sites faster.

Qualifications

• Experience with geospatial systems and infrastructure datasets.
• Ability to work with messy public or commercial datasets.
• Proven initiative through shipped projects or self-directed data products.

Responsibilities

• 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 speed research loops from days to hours.
• Create workflows to help the team notice what others miss.
• Make maps that feel intelligent rather than decorative.

Skills

Geospatial data

Infrastructure datasets

Utility data

AI-assisted research

Data extraction

Site selection

Ranking systems

Education

Computer Science

Data Science

Electrical Engineering

GIS

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