Hybrid Software Engineer - AI-Driven Climate Tech

Paces

New York, Northern (NY, KY)

Hybrid

USD 150,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Health, Dental and Vision insurance
401(k) matching
Hybrid work in the office in Williams­
Paid company holidays & PTO

Job summary

Paces is seeking a software engineer to join our growing team in Brooklyn, focused on building AI-powered infrastructure for climate-positive energy projects. You will work closely with power and permitting experts to automate complex workflows, deploy AI agents, and scale our data-intensive platform.

Ideal candidates have 4+ years in data-heavy software, strong Python/SQL skills, and a bias toward action in fast-moving startups, with a passion for fighting climate change.

Qualifications

  • 4+ years of experience building data-intensive software.
  • Experience deploying AI agents in production environments; familiar with Agent SDK, Messages API, LangGraph.
  • Proficient in Python and SQL; comfortable across backend, ETL, DB, and infra.
  • Strong problem-solving skills; able to work independently and in teams.
  • Able to thrive in ambiguous, fast-moving startup environments.

Responsibilities

  • Gain domain knowledge and build AI agents to automate human-driven work.
  • Build automation to unlock new modeling capabilities that change the market.
  • Own projects and collaborate with industry experts on end-to-end features.
  • Scale the platform to support growing traffic.
  • Collaborate with product team on the roadmap.

Skills

Data-intensive software
AI agents deployment
Python
SQL
Problem solving
Bias towards action

Tools

Agent SDK
Messages API
LangGraph

Job description

Paces is seeking a software engineer to join our growing team in Brooklyn, focused on building AI-powered infrastructure for climate-positive energy projects. You will work closely with power and permitting experts to automate complex workflows, deploy AI agents, and scale our data-intensive platform.

Ideal candidates have 4+ years in data-heavy software, strong Python/SQL skills, and a bias toward action in fast-moving startups, with a passion for fighting climate change.

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