Senior AI Engineer - (Generative AI | Azure)

🚀 We're Hiring – Senior AI Engineer (Generative AI | Azure)

📍 Remote

⚡ Immediate Joiners Preferred

💰 Salary: Up to ₹12 LPA

We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices.

💻 Technical Summary

• AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts
• Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability
• Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service
• RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients
• Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus
• Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes
• Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant)
• Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring
• Nice to Have: Microsoft Copilot Studio, Microsoft 365 Copilot, GitHub Copilot Enterprise, Azure AI Speech & Vision, GraphRAG, Neo4j, MLflow, Hugging Face, Ollama, Llama/Mistral, Terraform, Event-Driven Architecture, Kafka/Azure Event Hubs, CI/CD for AI Workloads

✅ Experience & Qualifications

• 5+ years in Software Engineering
• 3+ years of Microsoft Azure experience
• 2+ years building production-grade Generative AI/LLM solutions
• Proven experience delivering enterprise AI applications from design to production
• Experience integrating AI with Microsoft 365, Dynamics 365, SAP, ServiceNow, or Salesforce is highly desirable
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or related field
• Microsoft Azure AI Engineer Associate (AI-102) preferred; Azure/OpenAI/Kubernetes certifications are an advantage

📧 Share your resume: [email protected]

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