AI Engineer – Azure Cloud

Job Title: AI Engineer – Azure Cloud Company: Philodesign Technologies Inc Job Category: Machine Learning Roles & Responsibilities: 🔹 Key Responsibilities 1\. AI \& Generative AI Development * Design, develop, and implement AI\-powered applications using Python and modern 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. * 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. * 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. * 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. * 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 * 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 * 0-2 years of 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. Work Location: Pune City, Maharashtra, India Availability: Full time

* Position: AI Engineer – Azure Cloud * Experience: 0-2 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 🔹 Mandatory Technical Skills Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering, NLP Salary: Not disclosed