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# Software Engineer, AI Automation

- **Company:** AI Talent Hunt LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Build Automation, Software as a Service, Cloud Computing, Databases, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, Software Engineering, SQL Databases, Multi-Agent Systems, Backend, Information Technology, Virtual Agents
- **Published:** July 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ee5bab9949a06889

## About the Role

* 3-8 years of professional software engineering experience.
 * Recent hands-on experience deploying AI agents into production.
 * Strong proficiency in Python and SQL.
 * Experience with LangGraph, Agent SDKs, or similar agent frameworks.
 * Experience building scalable backend systems, ETL pipelines, databases, and infrastructure.
 * Comfortable working in startup environments with high ownership.
 * Bachelor's degree in Computer Science or a related field from a leading university.

Preferred Qualifications

 * Experience at a high-growth AI SaaS or vertical AI startup.
 * Experience with geospatial data, GIS, or energy infrastructure.
 * Background in renewable energy, climate technology, or infrastructure software.
 * Strong full-stack engineering capabilities.

Tech Stack

 * Python
 * SQL
 * LangGraph
 * Agent SDK
 * Agentic AI
 * ETL
 * Geospatial Data
 * Cloud Infrastructure

## Description

We're looking for a software engineer with strong experience building data-intensive systems and deploying AI agents into production. This role is ideal for someone who enjoys working in a fast-paced startup environment, taking ownership of products, and building intelligent automation that replaces manual workflows., * Design, build, and deploy production-grade AI agents for complex business workflows.

 * Develop end-to-end features across backend services, ETL pipelines, databases, and cloud infrastructure.
 * Build automation systems that streamline permitting, siting, and interconnection processes.
 * Work closely with product managers and domain experts to deliver impactful features.
 * Scale AI-driven platforms handling increasing workloads and data volumes.
 * Apply AI technologies to solve real-world infrastructure and energy challenges.


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