Senior Python/AI Developer for Automation & AI Workflows

Ethereum Technologies; Alpharetta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Ethereum Technologies is seeking a Python/AI Developer to modernize a legacy codebase using AI-driven development tools. You will work in an Agile squad across Wealth Management, infrastructure, and architecture to build AI-enabled Python applications and automation.

The role emphasizes hands-on Python development, AI integration, and enterprise automation, with collaboration across analytics, QA, and product teams in a dynamic environment.

Qualifications

• 8+ years of hands-on Python development experience.
• Strong knowledge of Python syntax, data structures, OOP, and design principles.
• Experience with AI application development, including building AI agents and integrating LLMs.
• Proficient in Django, FastAPI, or Flask and Python data/ML libraries (Pandas, NumPy, Scikit‑learn).
• Experience with unit testing tools (pytest, unittest) and test automation.
• 4+ years designing, developing, and maintaining enterprise-scale automation systems.

Responsibilities

• Leverage AI-assisted tools to generate Python-based web apps, backend services, and automation solutions.
• Design and generate unit tests to validate Python code against requirements.
• Build AI-driven components leveraging Agentic AI frameworks and LLM integration.
• Debug, troubleshoot, and optimize applications for performance and reliability.
• Collaborate with cross-functional teams in an Agile squad to deliver on time.

Skills

Python development

AI/ML development

OOP & design principles

Unit testing & test automation

Agile/Scrum collaboration

Tools

Django

FastAPI

Flask

Pandas

NumPy

Scikit-learn

pytest

unittest

Agentic AI frameworks

Microsoft Copilot

LLM integration

Git

Job description

Ethereum Technologies is seeking a Python/AI Developer to modernize a legacy codebase using AI-driven development tools. You will work in an Agile squad across Wealth Management, infrastructure, and architecture to build AI-enabled Python applications and automation.

The role emphasizes hands-on Python development, AI integration, and enterprise automation, with collaboration across analytics, QA, and product teams in a dynamic environment.