Python with AI

Job Description

Python Developer AI & Copilot Experience

We are seeking a highly skilled Python Developer with hands-on experience in AI-driven development and Copilot-enabled workflows. The ideal candidate will be passionate about building intelligent, scalable solutions and leveraging modern AI tools to improve developer productivity, code quality, and system performance.

This role involves designing and developing Python-based applications, integrating AI/ML capabilities, and actively using AI coding assistants (such as GitHub Copilot) in day-to-day development.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python.

• Build and integrate AI/ML-driven features such as intelligent automation, recommendations, summarization, or data insights.

• Actively use AI coding assistants (GitHub Copilot or similar) to accelerate development, refactoring, and testing.

• Develop and consume RESTful APIs and microservices.

• Work with AI frameworks and libraries (e.g., OpenAI APIs, LangChain, Hugging Face, TensorFlow, PyTorch).

• Implement data processing and pipeline workflows using Pandas, NumPy, and SQL.

• Collaborate with frontend, backend, data, and product teams to deliver end-to-end solutions.

• Write clean, maintainable, and testable code following best practices.

• Implement unit tests, integration tests, and AI-assisted test generation.

• Optimize application performance, scalability, and reliability.

• Stay up to date with advancements in AI, LLMs, and Copilot-driven development practices.

Required Skills & Qualifications

• Strong hands-on experience with Python development.

• Practical experience building or integrating AI/ML solutions.

• Hands-on usage of GitHub Copilot or similar AI coding assistants in real-world projects.

• Experience with REST APIs, microservices, and backend frameworks (FastAPI, Flask, Django).

• Strong understanding of data structures, algorithms, and system design.

• Experience with databases (PostgreSQL, MySQL, MongoDB).

• Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).

• Knowledge of version control systems (Git).

• Strong problem-solving and analytical skills.