Python/AI Developer
Mohammed Imran ThalifUnited StatesMIDPosted 6h ago
PythonAI-assisted codingAgentic AIenterprise automationDjangoFastAPIFlaskMicrosoft CopilotAgentic AI frameworksLLM integrationsPrompt EngineeringPandasNumPyScikit-learnPytestUnittestworkflow-based automationqueue-based processesprocess engineeringprocess re-engineeringcode reviewsdebuggingtroubleshootingperformance optimization
About the Role
We are looking for a skilled Python/AI Developer to join our team. This role focuses on modernizing legacy applications using AI-powered development tools and building scalable Python applications, backend services, and enterprise automation solutions.
Key Responsibilities
• Develop and maintain Python applications, backend services, and automation solutions using AI-assisted development tools.
• Build AI-driven components using Agentic AI frameworks, LLM integrations, prompt engineering, and Copilot extensibility.
• Modernize legacy applications and develop reusable Python libraries.
• Design and implement unit testing and test automation frameworks.
• Develop workflow-based and queue-driven enterprise automation solutions.
• Ensure application scalability, reliability, maintainability, and performance.
• Collaborate with cross-functional Agile teams, including Business Analysts, QA, Product Owners, and Architecture teams.
Requirements
• 4+ years of hands-on Python development
• Strong knowledge of Python, OOP, Data Structures, and Design Principles
• Experience with Django, FastAPI, or Flask
• Experience with AI-assisted development tools such as Microsoft Copilot
• Hands-on exposure to Agentic AI frameworks, LLM integrations, and Prompt Engineering
• Experience with Pandas, NumPy, or Scikit-learn
• Unit testing experience using Pytest or Unittest
• 4+ years of enterprise-scale automation development
• Experience with workflow-based automation and queue-based processes
• Strong knowledge of process engineering and process re-engineering
• Experience with code reviews, debugging, troubleshooting, and performance optimization