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Remote role, generalist fullstack title, and broad required skillset increase applicant density.
Core fullstack skills transfer across industries, but vector DB and RAG experience raise domain specificity.
Multiple mandatory tech skills (Python, FastAPI, React, AI concepts) but no explicit years makes screening moderately strict.
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Develop and maintain backend services using Python and FastAPI, along with React frontend components and REST APIs.
Support and enhance AI-enabled product features involving vector databases, semantic search, embeddings, and Retrieval-Augmented Generation workflows.
Improve application performance, reliability, security, and maintainability across frontend, backend, database, and AI-related layers.
Strong experience in Python backend development and FastAPI framework.
Proficient with React, modern JavaScript, and REST API development.
Familiarity with relational databases (PostgreSQL or MySQL) and cloud deployment platforms like AWS, Azure, or GCP.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating AI components such as vector databases, embeddings, semantic search, and RAG workflows with fullstack applications.
Comfortable improving existing, complex codebases and debugging across multiple layers including AI and data pipelines.
Capable of contributing effectively in an environment combining standard fullstack development with AI/data science concepts.