SME - AWS IAC, Terraform,Python

Job Summary

• Develop and maintain scalable Python applications using FastAPI and asynchronous programming.

• Design and implement RESTful APIs to support microservices architecture.

• Build intelligent AI solutions utilizing data ingestion , embeddings, prompt engineering and RAG techniques.

• Create standalone desktop applications using Python frameworks (e.g. Py Qt, Tkinter), ensuring usability and performance.

• Perform data analytics and manipulation on Excel, CSVs, DOCX, and PDF documents using python libraries ( e.g. pandas, openpyxl , pypdf) • Manage source code and collaborate through Git version control.

• Troubleshoot, debug, and optimize applications for reliability and efficiency.

• JD: Contingent Python + AI Resource Key Responsibilities • Develop and maintain scalable Python applications using FastAPI and asynchronous programming.

• Design and implement RESTful APIs to support microservices architecture.

• Build intelligent AI solutions utilizing data ingestion , embeddings, prompt engineering and RAG techniques.

• Create standalone desktop applications using Python frameworks (e.g. Py Qt, Tkinter), ensuring usability and performance.

• Perform data analytics and manipulation on Excel, CSVs, DOCX, and PDF documents using python libraries ( e.g. pandas, openpyxl , pypdf)• Manage source code and collaborate through Git version control.

• Troubleshoot, debug, and optimize applications for reliability and efficiency.Required Skills-• Experience with FastAPI framework and asynchronous programming paradigms.

• Solid understanding of RESTful API design and microservices architecture.

• Hands-on experience with AI concepts including Data ingestion , embeddings, prompt engineering, and retrieval-augmented generation (RAG).\• Proven ability to develop standalone desktop applications using Python frameworks such as Py Qt or Tkinter.

• Expertise in Python libraries for data analytics ( e.g. pandas, openpyxl , pypdf)• Experience working with Excel, DOCX, and PDF document formats for data extraction and analysis.

• Proficient with Git for version control and collaborative development.

• Strong analytical, problem-solving, and communication skills.

Key Responsibilities

• Develop and maintain scalable Python applications using FastAPI and asynchronous programming.
• Design and implement RESTful APIs to support microservices architecture.
• Build intelligent AI solutions utilizing data ingestion , embeddings, prompt engineering and RAG techniques.
• Create standalone desktop applications using Python frameworks (e.g. Py Qt, Tkinter), ensuring usability and performance.
• Perform data analytics and manipulation on Excel, CSVs, DOCX, and PDF documents using python libraries ( e.g. pandas, openpyxl , pypdf) • Manage source code and collaborate through Git version control.
• Troubleshoot, debug, and optimize applications for reliability and efficiency.

Skill Requirements

• Experience with FastAPI framework and asynchronous programming paradigms.
• Solid understanding of RESTful API design and microservices architecture.
• Hands-on experience with AI concepts including Data ingestion , embeddings, prompt engineering, and retrieval-augmented generation (RAG).
• Proven ability to develop standalone desktop applications using Python frameworks such as Py Qt or Tkinter.
• Expertise in Python libraries for data analytics ( e.g. pandas, openpyxl , pypdf) • Experience working with Excel, DOCX, and PDF document formats for data extraction and analysis.
• Proficient with Git for version control and collaborative development.
• Strong analytical, problem-solving, and communication skills.

Other Requirements

• Experience with FastAPI framework and asynchronous programming paradigms.
• Solid understanding of RESTful API design and microservices architecture.
• Hands-on experience with AI concepts including Data ingestion , embeddings, prompt engineering, and retrieval-augmented generation (RAG).
• Proven ability to develop standalone desktop applications using Python frameworks such as Py Qt or Tkinter.
• Expertise in Python libraries for data analytics ( e.g. pandas, openpyxl , pypdf) • Experience working with Excel, DOCX, and PDF document formats for data extraction and analysis.
• Proficient with Git for version control and collaborative development.
• Strong analytical, problem-solving, and communication skills.