Title:  Prompt Engineering

Area(s) of responsibility

7-10 years of overall technology experience in core application development
Hands-on experience in Prompt engineering is must.
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..