AI Engineer

Powertown; Boston (MA); On-site; USD 90,000 - 130,000; Part time

Job summary

Powertown is seeking a data-focused geospatial engineer to turn scattered infrastructure data into a living map of opportunity. You will design systems that rank, enrich, and explain prospects, extracting signal from land, grid, utility, market, and spatial data.

You will use agents to compress research loops that usually take days and craft workflows that help the team notice what others miss. You’ll push toward maps that feel intelligent, not decorative, guiding strategic decisions with

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 compress research loops that usually take days
• Create workflows that help the team notice what others miss
• Make maps feel intelligent, not decorative

Job description

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