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 robust 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
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📌 Senior AI Engineer (Azure Generative AI) (Hyderabad)
🏢 Mully Technology
📍 Hyderabad