Senior Python AI Engineer – AI/Automation in FinTech

Cloud Analytics Technologies, LLC; Austin (TX); On-site; USD 91,000 - 124,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Python AI Developer to modernize a legacy codebase into a modern technology stack. You will work in an Agile squad with Wealth Management, infrastructure, and architecture teams, applying AI-driven development tools to build adaptable solutions.

The role requires 6+ years of Python and AI experience, with Django, FastAPI, or Flask, and hands-on use of Pandas, NumPy, and ML libraries.

Qualifications

• 6+ years of hands-on Python development.
• Experience with AI application development, including building AI agents and integrating LLMs.
• Proficiency with Python frameworks such as Django, FastAPI, or Flask.
• Experience with Python data/ML libraries (Pandas, NumPy, Scikit-learn).
• Understanding of unit testing tools (pytest) and test automation.
• 4+ years designing and maintaining enterprise-scale automation systems.
• Experience with process engineering and re-engineering.
• Strong software engineering fundamentals (encapsulation, extensibility).
• Experience architecting workflow-based solutions or functionality.

Responsibilities

• Develop Python AI applications to modernize legacy systems.
• Work in an Agile squad with Wealth Management, infra, and architecture teams.
• Design, develop, and maintain enterprise automation solutions and workflows.

Skills

Python

AI development

Django/ FastAPI/ Flask

Pandas/ NumPy/ Scikit-learn

Unit testing (pytest)

Enterprise automation design

Workflow architectures

Queues / Libraries

Job description

Cloud Analytics Technologies, LLC is seeking a Python AI Developer to modernize a legacy codebase into a modern technology stack. You will work in an Agile squad with Wealth Management, infrastructure, and architecture teams, applying AI-driven development tools to build adaptable solutions.

The role requires 6+ years of Python and AI experience, with Django, FastAPI, or Flask, and hands-on use of Pandas, NumPy, and ML libraries.