We are looking for a highly experienced AI Engineer to design, build, and operate the core infrastructure and orchestration layer for enterprise AI solutions. This role focuses on delivering secure, scalable, and production-grade AI systems powered by cloud-native architecture and LLM-driven workflows.

Key Responsibilities

• Architect and implement cloud-native AI platforms using 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).

• Implement RAG pipelines using Azure AI Search, vector databases, and storage.

• Design secure APIs, authentication, authorization, and secrets management.

• Support observability: logging, tracing, metrics, and AI performance dashboards.
  

Required Skills & Experience

• 7+ years in AI, ML - AI Engineer.

• Deep expertise in Azure (Functions, App Services, Document Intelligence,  AI Search, OpenAI).

• Strong understanding of LLMs, embeddings, RAG, Agentic architectures.

• Proficiency in Python.

• Experience with infrastructure-as-code (Bicep, Terraform).

• Strong DevOps and security mindset.

• Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.

• Knowledge of compliance and data governance for AI systems.

Shift Hours: 4 PM to 1 AM IST