AI/ML/Gen AI Engineer

Key Responsibilities

• Implement cloud-native AI solutions in Microsoft Azure.
• Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
• Knowledge in MCP, A2A and other new protocols.
• Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models).
• Design & Deploy Custom Document Intelligence Models.
• Implement RAG pipelines using Azure AI Search, vector databases, and storage.
• Design secure APIs, authentication, authorization, and secrets management.

Required Skills & Experience

• Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, Open AI Foundry).
• Strong understanding of LLMs, embeddings, RAG, agentic architectures.
• OCR Tools (Azure Doc Intelligence / John Snow Labs).
• High Proficiency in Python.
• Working experience with LangGraph.

Good to Have

• Experience with infrastructure-as-code (Bicep, Terraform).
• Knowledge on compliance and data governance for AI systems.
• Prompt Engineering.