Back
Tier-1 employer and mid-level metro role, but niche LLMOps skills reduce qualified applicant density.
Specialized LLMOps and Azure AI stack require domain-specific ML experience, limiting cross-industry interchangeability.
Explicit 3-5 years plus mandatory LLM/AI, Azure, and Python requirements create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and implement AI-driven software solutions using Python and Azure AI Stack components including Foundry, ML, AI Search, Document Intelligence, and Vision.
Manage and optimize Retrieval-Augmented Generation (RAG) and Agentic Frameworks such as LangGraph, LangChain, and CrewAI to enhance AI applications.
Operate and refine LLMOps and evaluation processes using tools like LangSmith and RAGAS; build and maintain Azure Function and Logic Apps to support AI workflows.
3-5 years of professional experience in Python programming with focus on AI applications.
Bachelor of Engineering (BTech/BE) degree mandatory.
Hands-on expertise in Azure AI Stack (Foundry, ML, AI Search, Document Intelligence, Vision) and AI frameworks including RAG and Agentic Frameworks.
Experience with Azure Function Apps and Logic Apps is required.
Experienced in designing and deploying AI/ML models within cloud ecosystems, especially Azure, with knowledge of AI product lifecycle management.
Competent in leveraging advanced AI frameworks and LLM operations to deliver scalable AI integrations.
Comfortable working in advisory and technology development environments targeting digital transformation and operational optimization.