Software Engineer, AI Automation

• Build and deploy AI agents that automate human-driven power development workflows (siting, interconnection, permitting)
• Take full ownership of end-to-end features, iterating closely with power and permitting industry experts
• Design and scale automation systems that unlock new modeling capabilities and fundamentally change the renewable energy market
• Work across the stack - backend services, ETL pipelines, databases, and infrastructure - to support ever-growing platform traffic
• Collaborate tightly with the product team on roadmap and prioritization
• Gain deep domain knowledge in energy infrastructure development and apply it to build intelligent, production-grade agentic systems, * Python
• SQL
• LangGraph
• Agent SDK
• Messages API
• ETL
• Geospatial Data
• Agentic AI

About the CompanyThe 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. 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.

Do you have experience in Startup experience?, We need a software engineer with 3+ years of experience building data-intensive systems who has hands-on experience deploying AI agents in production. You should be comfortable working in a fast-paced, unstructured startup environment with minimal specs and have a track record of shipping automation that replaces manual workflows. Bonus points if you’ve worked at a vertical AI company or have experience with geospatial data or energy infrastructure., * 3-8 years of experience in software engineering at a tech company, with recent AI agent experience

Work Experience

• Deployed AI agents in production environments within the last 2-3 years
• Worked at a high-growth tech startup (no consultancies or banks; big tech generally not a strong signal unless there is clear mission/culture fit)
• Experience at a vertical AI SaaS company building agents

Education

• CS degree (or related) from a top 30 US school

Hard Skills

• Proficient in Python and SQL
• Experience with Agent SDKs, LangGraph, or similar frameworks
• Full-stack comfort: backend, ETL, database, infrastructure
• Worked with geospatial data or energy grid modeling

Soft Skills

• Alignment with company culture memo

Traits to Avoid

• Job hopper with multiple stints under 1 year (average tenure should be 1.5-2 years minimum)
• Background primarily at consultancies, banks, or non-tech companies
• Purely theoretical AI/ML experience without production deployment

Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance
• Paid holidays, * Salary: $150K - $220K
• Equity: Competitive equity
• Visa Sponsorship: Visa sponsorship available for candidates on OPT. H1B transfers permitted.
• Hybrid Work Policy: Hybrid in Williamsburg, Brooklyn ~3x per week

Employee Benefits

• 401(k) matching
• Health, Dental and Vision insurance
• Paid company holidays & PTO
• Hybrid work in the office in Williamsburg, Brooklyn ~3x per week

Building the development engine for renewable infrastructure and power projects. The company has 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. The platform streamlines siting, interconnection, and permitting for renewable energy and data center developers, real estate firms, EV charging companies, and more.

Enabling the climate optimum use for all the world’s land and serving as thought leaders in the evolving data center and renewables markets.