Python (RPA Project)

The role focuses on designing and implementing intelligent automation solutions using Python, GenAI models, and RPA (Robotic Process Automation) techniques. The engineer will be responsible for developing scalable automation frameworks, performing data extraction/parsing from multiple sources, and integrating systems to support business workflows.

• Automation Development:

  Build and maintain RPA solutions for tasks such as web scraping (traditional and AI-driven), PDF parsing, and OCR-based data extraction.

• GenAI Integration:

  Implement intelligent data parsing pipelines using LLMs (OpenAI, Google Gemini, Grok, etc.) and prompt engineering.

• Application Development:

  Design, develop, and optimize Python-based applications for performance and scalability.

• System Integration:

  Work on MCP server integration and front-end/back-end service connectivity.

• Code Quality:

  Write clean, testable, and scalable code; participate in code reviews and documentation.

• Problem Solving:

  Identify bugs, performance issues, and bottlenecks, then implement effective fixes.

• Research & Innovation:

  Explore and apply emerging AI-based automation tools, frameworks, and approaches.

• Strong expertise in

  Python

  and Object-Oriented Programming (OOP).
• Proficiency with Python libraries:

  Pandas, NumPy, Matplotlib, BeautifulSoup, Selenium, Tabula, PyMuPDF, PyPDF2, Tesseract OCR

  .

• Hands-on experience with

  GenAI tools

  (OpenAI GPT APIs, Google Gemini, Grok, etc.) for intelligent parsing.
• Knowledge of

  prompt engineering

  for structured data extraction.
• Experience with both

  traditional scraping (BeautifulSoup, Selenium)

  and

  AI agent-based web scraping

  .

• Skilled in

  Django, Flask, FastAPI, Streamlit

  .
• Database exposure:

  MySQL, MSSQL, Redis DB, MongoDB (optional)

  .

• Knowledge of

  MCP server integration

  .
• Working with

  AWS services

  : S3, Lambda, API Gateway.

• Familiarity with

  Git/GitHub, Docker, Jira

  .
• IDEs:

  PyCharm, Spyder, Jupyter Notebook, VS Code

  .

• Strong communication and documentation abilities.
• Analytical and problem-solving mindset.
• Ability to work independently and deliver results proactively.