Software Engineer (Junior)

Paces

📍Brooklyn, NY
Posted May 20, 2026

Job Overview

Position

Software Engineer (Junior)

Company

Paces

Location

Brooklyn, NY

Work Type

On-site

Job ID

li-4416101000

Job Description

🌎 The Opportunity
In the next 30 years, the world will transform every part of the built environment to be climate positive green infrastructure. But today’s renewable energy development process can’t move fast enough to meet global goals. Paces exists to change that. We are providing software and services to accelerate power development - unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it’s built with renewable energy.

🛠️ Our Solution
Paces is building the development engine for renewable infrastructure and power projects.
We have built Agentic AI that automates early-stage due diligence and pairs it with in-house expertise to accelerate late-stage diligence. The result: projects move from siting to construction-ready in a fraction of the time. Our platform streamlines siting, interconnection, and permitting for renewable energy and data center developers, real estate firms, EV charging companies, and more.

🧑‍🎨
Our Team
We are building a team where people can proudly say their time at Paces is the most impactful, meaningful work of their career.
Our amazing team in Brooklyn, New York includes incredible team members from tech companies like Meta AI, DeepMind, and Tesla; various high growth startups; as well as industry leaders from TotalEnergies, Con Edison and GE.

We are looking for exceptional talents to join our growing Software Engineering team. You will be working closely with power and permitting industry experts to automate power development!

🏆 What You’ll Achieve

  • Gain domain knowledge, build AI agents to truly automate human-driven work

  • Build automation to unlock new modeling capabilities that fundamentally changes the market

  • Have full ownership of projects, iterate closely with industry experts on end-to-end features

  • Scale up our platform and system to support ever growing traffic

  • Work in tight collaboration with the product team on product roadmap

📈
Requirements

  • Internship experiences building data intensive software at fast growing startups

  • Experience deploying AI agents in production environment , familiar with Agent SDK, Messages API, LangGraph

  • Proficient in Python, SQL, and comfortable working across the stack - backend, ETL, database, and infrastructure

  • Strong problem solving skills and the ability to work independently and in a team

  • You’re comfortable with ambiguity, unblock yourself, and make progress without waiting on perfect specs

✨ About You
You will thrive in our culture if you:

  • Have a strong bias towards action and prioritize execution

  • Share our passion to build something that fights climate change

  • Easily handle the unstructured environment of fast moving startups

  • Have the hunger to grow together with Paces as we scale up

🚀 Bonus Points

  • Previous experience at a high-growth, fast-paced startup

  • Previous experience working with geospatial data and platforms

  • Previous experience working with energy grid modeling or utility companies

💰 Compensation And Benefits

  • $110K - $160K annual compensation

  • Competitive equity compensation

  • 401(k) matching

  • Health, Dental and Vision insurance

  • Paid company holidays & PTO

  • Hybrid work in the office in Williamsburg, Brooklyn ~3x per week

☀️
About Paces

  • 🛠️ If you’re a builder who wants to actively construct a more climate positive future, join us!

  • 🗺️ We are enabling the climate optimum use for all the world’s land and are thought leaders in the evolving data center and renewables markets.

  • 🐶 We have a dog calendar and have dogs running around in the office.

  • 🌞 We have world class customers and are growing!

  • 📢 We've raised $18M+ led by Navitas Capital, Resolute Ventures and Y Combinator.

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How have you used LangGraph or similar Agent SDKs to build and deploy an AI agent in a production environment, and how did you handle state management or tool execution?
  • 2.Paces processes massive amounts of geospatial and grid data for due diligence. Walk me through how you would design an ETL pipeline in Python and SQL to handle and transform this data efficiently.
  • 3.Given our need to scale up our platform for ever-growing traffic, how would you approach identifying and resolving a bottleneck in a backend service that handles concurrent requests for AI agent execution?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to build a feature or solve a problem without perfect specifications. How did you unblock yourself?
  • 2.Describe an experience where you worked closely with a non-technical domain expert (like a power or permitting specialist) to translate their needs into a technical solution.
  • 3.Give an example of a time you took full ownership of a project from conception to deployment. What was the outcome, and what did you learn?
🧩Situational Questions (2)
  • 1.You are tasked with building an AI agent to automate early-stage due diligence for a new type of renewable energy project, but the agent is frequently returning inaccurate permitting requirements. How do you handle this?
  • 2.You are assigned to scale up a database that is currently struggling with the volume of concurrent queries from our platform's new modeling capabilities, but you have no prior deep database infrastructure experience. What is your approach?

Resume Keywords

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LangGraphAI AgentsPythonSQLETLGeospatialRenewable EnergyStartupFull-StackDue DiligenceAutomationScalability

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