Senior AI Engineer (4+ years ) (Immediate only)

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

Hybrid Mode - Hyderabad (Only Immediate Joiners)

Immediate Joiners only

We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions . 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.

Key Responsibilities

• Design and develop enterprise AI solutions using Microsoft Azure AI Services.
• Build AI Assistants, Copilots, Agentic AI solutions, and autonomous AI workflows.
• Design and implement RAG architectures using enterprise knowledge bases.
• Build AI orchestration using Semantic Kernel, LangChain, LangGraph, AutoGen, and Azure AI Agent Service.
• Develop MCP servers and clients for secure enterprise integrations.
• Integrate AI applications with Microsoft 365, SharePoint, Teams, Dynamics 365, SQL Databases, REST APIs, and third-party platforms.
• Build prompt engineering, function calling, structured outputs, tool calling, vector search, semantic search, and enterprise AI governance frameworks.
• Monitor model performance, latency, token usage, cost optimization, security, and compliance.
• Collaborate with architects, developers, and business stakeholders while mentoring junior engineers.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 & Client
• 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]

Pay: Up to ₹2,200,000.00 per year

Benefits:

• Provident Fund

Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad, Hyderabad District)