? HIRING | AI Engineer – Azure Cloud | 4–5 Years | Pune (Onsite) We are looking for a skilled AI Engineer with strong hands-on experience in Artificial Intelligence, Generative AI, Machine Learning, LLMs, and Python development. The ideal candidate should have practical experience designing, developing, integrating, and deploying AI-powered applications, with Microsoft Azure as the primary cloud platform for AI development and deployment. Candidates should have a good understanding of AI engineering, LLM-based applications, RAG architectures, AI agents, prompt engineering, and cloud-based AI solutions. ? Job Details
• Position: AI Engineer – Azure Cloud
•

Experience:
4–5 Years
•

Location:
Pune
• Work Mode: Work From Office (Onsite)
• Employment Type: Full-Time
• Notice Period: Immediate Joiners / Serving Notice Period up to 15 Days Preferred ?

Key Responsibilities
1. AI & Generative AI Development
• Design, develop, and implement AI-powered applications using Python and up-to-date AI frameworks.
• Build Generative AI solutions using LLMs such as GPT and other foundation models.
• Develop prompt engineering strategies and optimize LLM responses.
• Implement Retrieval-Augmented Generation (RAG) solutions for enterprise applications.
• Develop AI agents and multi-agent workflows for business use cases.
• Integrate LLMs with enterprise applications, databases, and external APIs. 2. Machine Learning & AI Engineering
• Develop, train, test, and deploy machine learning models.
• Work with supervised and unsupervised learning techniques.
• Perform data preprocessing, feature engineering, model evaluation, and optimization.
• Implement NLP solutions, text processing, and semantic search capabilities.
• Evaluate AI model performance, accuracy, and reliability. 3. Microsoft Azure Cloud & AI Services




• Develop and deploy AI/ML applications using Microsoft Azure.
• Work with Azure OpenAI Service and Azure AI Foundry.
• Use Azure Machine Learning for model development, deployment, and monitoring.
• Work with Azure AI Search for vector search, semantic search, and RAG implementations.
• Deploy AI applications using Azure App Services, Azure Functions, and Azure Container Apps.
• Integrate Azure Storage, databases, and other cloud services into AI workflows.
• Implement secure access using Azure Key Vault and Managed Identities. 4. AI Frameworks & Application Development
• Work with Python frameworks such as FastAPI and Flask.
• Use LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Develop REST APIs and integrate AI models into applications.
• Work with vector databases such as FAISS, ChromaDB, Pinecone, or Azure AI Search.
• Implement embeddings, vector indexing, and similarity search. 5. Model Deployment & LLMOps
• Deploy and manage AI/ML models on Azure cloud infrastructure.
• Implement model versioning, prompt versioning, and evaluation workflows.
• Build CI/CD pipelines using Azure DevOps or GitHub Actions.
• Monitor model performance, latency, token consumption, and application costs.
• Optimize AI applications for scalability, performance, and reliability.
• Work with Docker and containerization for application deployment. ? Mandatory Technical Skills
• Python Programming
• Artificial Intelligence / Machine Learning
• Generative AI and Large Language Models (LLMs)




• Azure OpenAI Service
• Microsoft Azure Cloud
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• LangChain / LangGraph / LlamaIndex / Semantic Kernel
• Machine Learning Model Development and Deployment
• NLP and Embeddings
• Vector Databases / Vector Search
• REST API Development and Integration
• Azure AI Foundry / Azure Machine Learning
• Azure AI Search
• Model Deployment and Monitoring ? Good-to-Have Skills
• AI Agents and Multi-Agent Systems
• Model Context Protocol (MCP)
• Fine-tuning and evaluation of LLMs
• PyTorch / TensorFlow / Scikit-learn
• FastAPI / Flask
• Docker / Kubernetes
• Azure Functions / App Services
• Azure DevOps / GitHub Actions
• Terraform / Bicep
• Azure Monitor / Application Insights
• LLMOps and MLOps ? Candidate Profile
• 4–5 years of relevant experience in AI/ML or AI Engineering.
• Strong hands-on Python programming and AI application development experience.
• Practical experience developing Generative AI and LLM-based applications.
• Experience implementing RAG pipelines and integrating LLMs with enterprise data.
• Hands-on experience using Microsoft Azure for AI development and deployment.
• Understanding of cloud architecture, application integration, and security.
• Strong analytical, debugging, and problem-solving skills.
• Ability to collaborate with engineering teams and technical stakeholders. We are looking for hands-on AI Engineers who can build, integrate, and deploy production-ready AI solutions on Microsoft Azure #Hiring #AIEngineer #AzureAI #ArtificialIntelligence #MachineLearning #GenerativeAI #AzureOpenAI #LLM #RAG #Python #LangChain #LangGraph #AIAgents #AzureCloud #MLOps #LLMOps #PuneJobs #PuneHiring #OnsiteJobs #FullTimeHiring

📌 AI Engineer – Azure Cloud (Pune)
🏢 Philodesign Technologies
📍 Pune