Python Developer - AI-Assisted Development - Cursor IDE GitHub Copilot

3 - 6 years

7 - 15 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title: Python Developer - AI-Assisted Development (Cursor IDE&GitHub

Job Summary

AI-assisted development tools

  • Develop and maintain Python-based applications, APIs, and automation scripts using AI-assisted coding tools.
  • Use

    ChatGPT

    ,

    Cursor IDE, GitHub Copilot

    to research, generate, and refine code solutions quickly.
  • Integrate AI-generated code into robust, production-ready applications with proper testing and documentation.
  • Collaborate with team members to review, optimize, and validate AI-suggested code.
  • Create automation workflows, backend services, and integrations with third-party APIs.
  • Stay up-to-date on the latest AI-assisted development trends and recommend improvements to the teams workflow.
  • Implement unit tests, integration tests, and maintain code quality standards.
  • Use Git-based workflows for version control and team collaboration.

Required Skills & Qualifications

  • Strong proficiency in

    Python 3.x

    and core libraries (requests, pandas, asyncio, etc.).
  • Hands-on experience using

    ChatGPT

    (OpenAI) for code generation, debugging, and documentation assistance.
  • Familiarity with

    Cursor IDE

    or other AI-powered IDEs (e.g.,

    GitHub Copilot, Codeium

    ).
  • Experience in developing REST APIs using

    FastAPI

    ,

    Flask

    , or

    Django

    .
  • Understanding of AI-assisted code completion best practices and limitations.
  • Good grasp of software engineering fundamentals: debugging, testing, and performance optimization.
  • Experience with Git, GitHub/GitLab, and collaborative coding practices.
  • Strong problem-solving skills and ability to blend AI-generated solutions with human code review.

Preferred Skills

  • Knowledge of integrating

    LLM-based APIs

    (OpenAI, Hugging Face, LangChain) into Python projects.
  • Familiarity with containerization (Docker) and cloud deployment (AWS, Azure, GCP).
  • Basic understanding of prompt engineering for better AI coding assistance.
  • Experience with automation frameworks (Selenium, Playwright, RPA tools).

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