Description :

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 to 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 to 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.

- Build and maintain backend APIs and services using the Python programming language.

- APIs are used by mobile apps, front-end applications, and other services.

- Design robust and scalable systems using Python frameworks like Django, Flask or Pyramid.

- Write clean, maintainable code that can handle high loads and traffic.

- 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.

- Work in an Agile environment collaborating with front-end developers, designers, and product managers.

- Participate in daily standups and sprints.

- Experience with tools like SQLAlchemy to interact with databases.

- Knows how to design schemas, queries, and models for applications.

- Experience with version control systems like Git.

- Knows how to set up repositories, handle merges, create pull requests, work with remote teams, etc.

- Proficiency in databases like PostgreSQL, MySQL, MongoDB, etc.

- Knows how to set up tables/collections, queries, schemas, etc.

- Can design data models for applications.

- Experience with deployment tools like Docker, Kubernetes, AWS, Google Cloud or Heroku.

- Understands infrastructure as code concepts to manage deployments.

- Knowledge of software engineering best practices like test-driven development, peer reviews, design documentation, etc.

- Writes clean, modular and maintainable code.

- Passion for learning and enhancing technical skills.

- Stays up to date with latest Python libraries, tools, and programming techniques through self-study and practice.

- Able to analyze and solve complex programming problems.

- Has strong logical and reasoning abilities.

- Pays attention to detail.

- Good communication skills.

- Can explain technical concepts to both technical and non-technical stakeholders.

- Provides documentation for code and systems.

- Participates in code reviews and design discussions.

- Proficiency with Microsoft Azure.

- Can provision and configure services such as Virtual Machines, App Service, Kubernetes Service, Functions, Storage Accounts, etc.

- Knows capabilities and use cases for major Azure infrastructure components