AI-Driven Python Applications Engineer

Intepros; New York (NY); Hybrid; USD 110,000 - 180,000; Full time

Job summary

Intepros in New York, NY is seeking a Python Application Developer to join an enterprise technology team. You will build modern applications, enhance internal tools, and create AI-enabled automation solutions using Python, SQL, APIs, and related technologies.

You will partner with stakeholders, design scalable data-driven solutions, and help replace manual processes with robust, database-backed applications within a hybrid work model.

Qualifications

• Minimum 5+ years of application development experience.
• Strong Python development background with enterprise tooling.
• Advanced SQL and database development (Oracle preferred).
• Experience building REST APIs and ETL data workflows.
• Familiarity with GitLab, CI/CD pipelines, and source control.

Responsibilities

• Design, develop, and support enterprise apps using Python.
• Collaborate with stakeholders to translate business needs into scalable solutions.
• Enhance AI agents and automation to improve efficiency.
• Build and optimize internal databases and integrate data from multiple sources.
• Replace spreadsheet processes with database-driven apps and UIs.
• Improve data collection, management, and reporting.
• Develop REST APIs and ETL processes for workflows.
• Design SQL queries, objects, and data models.
• Support production apps, troubleshoot, and improve reliability.
• Use GitLab and Splunk for development, deployment, and monitoring.
• Contribute to CI/CD, Agile delivery, and continuous improvement.

Skills

Python

SQL

REST APIs

ETL

GitLab

Splunk

Google App Engine

CI/CD

AI/Generative AI

Tools

GitLab

Splunk

Google App Engine

Job description

Intepros in New York, NY is seeking a Python Application Developer to join an enterprise technology team. You will build modern applications, enhance internal tools, and create AI-enabled automation solutions using Python, SQL, APIs, and related technologies.

You will partner with stakeholders, design scalable data-driven solutions, and help replace manual processes with robust, database-backed applications within a hybrid work model.