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. PyQt, 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. PyQt, 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 PyQt 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. PyQt, 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 PyQt 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 PyQt 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.