Experience -Above 7 Years

The Senior AI Engineer designs, builds, and operates the core infrastructure and orchestration backbone of AI solutions. This role ensures the platform is secure, scalable, resilient, and production-grade.

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 recent 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





- 7–8 years in Cloud / Platform Engineering with strong AI system exposure.
- Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, OpenAI).
- Strong understanding of LLMs, embeddings, RAG, agentic architectures.
- Proficiency in Python, C#, or Node.js.
- 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.

Pay: ₹478,831.62 - ₹4,000,000.00 per year

Work Location: Remote

📌 AI Engineer (India)
🏢 Zuru Services
📍 India