Technical Lead-App Development

Responsibilities:

Flask/Django/FastAPI Development Expertise:

Develop and maintain AI applications using Flask, Django, or FastAPI frameworks.

Participate in the full software development lifecycle from requirements gathering to deployment.

Deliver at least 2-3 projects as a developer using these frameworks, demonstrating proficiency and understanding of best practices.

Core Python Proficiency:

Demonstrate proficiency in core Python concepts including iterators, generators, object-oriented programming (OOP), Python shell (REPL), and object-relational mapping (ORM).

Implement efficient data structures and handle exceptions effectively.

Contemporary AI Frameworks & Tools:

Possess knowledge of contemporary Python libraries for LM (Language Model) orchestration such as LangChain, Llamaindex, Autogen and TaskWeaver etc.

Utilize these libraries to handle complex scenarios and optimize AI applications effectively.

Implements AutoGen framework for agentic flows using Python

Implementation of GPTCache to the AI applications

Leverages DsPY framework for subtraction of prompt engineering as code

Cloud Expertise (Azure/AWS):

Build and deploy AI applications using cloud services provided by Azure or AWS.

Configure and manage cloud infrastructure to ensure scalability, reliability, and performance of deployed applications.

Stay updated with the latest trends and best practices in cloud computing.

Requirements:

7-10 years of overall technology experience in core application development

Must have : Flask ,Django , Fast API development expertise with least 2-3 project delivered as a Python application developer.

Must have : Core Python - Iterators, Generators , OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.

Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services.