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Job Description
Structured overview of role & requirementsAbout This Role
Develop and optimize scalable Python applications using core Python and data structures/algorithms expertise.
Design and maintain backend APIs with frameworks like FAST API, Flask, or Django and manage relational databases using SQL and cloud services.
Integrate advanced AI features via RAG architecture and vector databases, deploying AI solutions on cloud platforms (AWS/GCP).
Minimum Requirements
Strong proficiency in Core Python fundamentals and backend development (FAST API/Flask/Django).
Demonstrated experience with data structures and algorithms relevant to Python application development.
Experience with RAG architecture, vector databases, and SQL database management.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building AI-powered backend services and cloud-native applications using Python in an enterprise context.
Capable of owning end-to-end AI solution development, including data pipeline automation and deployment on AWS/GCP.
Comfortable working with cutting-edge AI integration technologies (RAG, vector DBs) and ensuring robust API design and backend scalability.