We at Innovecture are hiring for a Senior Python-AI Engineer to expand our team in Pune, you will work across various Innovecture and client teams and apply your technical expertise to some of the most complex and challenging technology problems.
About Innovecture:
Founded in 2007 under the leadership of CEO Shreyas Kamat, Innovecture LLC, began as a U.S.-based Information Technology and Management Consulting Company focusing on technology consulting and services. With international development centers located in Salt Lake City, USA, and Pune, India, Innovecture leverages its Global Agile Delivery Model to effectively deliver client projects within budget scope and project deadline. The primary focus of Innovecture is to provide a unique wealth of expertise and experience to the IT and Management Consulting realm by utilizing various technologies across multiple industry domains. Innovecture uses best-in-class design processes and top-quality talent to ensure the highest quality deliverables. With innovation embedded in its consulting and services approach, Innovecture will continue to deliver outstanding results for its Fortune 500 clients and employees.
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.
