





Niche LLM/agent skills reduce competition, but Mumbai metro and AI job popularity increase applicant density.
Specialized agentic AI, LLM, and vector-database skills limit cross-industry transferability.
Mandatory LLM, RAG, vector DB, cloud, and deployment skills create strict technical filtering.
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Develop intelligent, autonomous AI systems leveraging LLMs, orchestration frameworks, and multi-agent workflows.
Build and maintain RAG pipelines for processing both structured and unstructured data.
Create APIs and services using Python and FastAPI, focusing on improving model accuracy, latency, and reliability.
Strong proficiency in Python and SQL.
Experience with LLMs, Retrieval-Augmented Generation (RAG), and multi-agent AI systems.
Hands-on experience with LangChain, LangGraph or similar frameworks, vector databases, and OCR tools.
Experience deploying AI models on cloud platforms, preferably Azure.
Experienced in architecting multi-agent AI pipelines and autonomous AI applications.
Skilled in integrating AI models with cloud infrastructure and containerization (Docker).
Knowledgeable about prompt engineering, agent reasoning, and RAG workflows to improve AI system performance.