Area(s) of responsibility
Python AI/ML Application Engineer
This is Python application development role. Requires deep core Python expertise to develop application backends using core Python libraries. This is not a Python data science role. The ideal candidate will have a strong background in Python application development, particularly in the context of AI applications. This role requires expertise in web development frameworks like Flask, Django, or FastAPI, as well as proficiency in core Python concepts, cloud services deployment, and contemporary Python libraries for LM orchestration. The successful candidate will be responsible for designing, developing, and deploying AI applications on cloud platforms like Azure or AWS
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
- 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 : AI Search, Vector Database creation for relational databases and unstructured data.
- Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services.
- Integrate with data stores like PostgreSQL, MySQL, MongoDB, etc. Build queries, schemas, and services to interact with data in the application.
- Implement web security practices like authentication, authorization, input validation, etc. To protect user data and system integrity. Use libraries like Passport.js for authentication.
- Develop workflows and integrations between systems. Work with developers to connect front-end and mobile apps to the backend API.
- Deploy backend services on platforms like Heroku, AWS, GCP or Azure. Work with DevOps engineers to set up and monitor infrastructure. (Preferred is Microsoft Azure)
- Maintain documentation for API specifications, system designs, deployment processes, etc. Documents help onboard new developers to work with the systems.
