Freelancing Opportunity Azure AI RAG EngineerRole Overview We are seeking an experienced Azure AI RAG Engineer to design develop and deploy advanced Retrieval-Augmented Generation RAG systems using Azure AI services The ideal candidate will excel in building scalable semantic search pipelines containerized AI applications and secure production-grade microservices Core Responsibilities Architect and implement RAG pipelines using Azure AI Search OpenAI embeddings and custom reranking logic Develop and deploy containerized AI applications using Docker and Azure Container Apps Build semantic search systems with hybrid retrieval chunking enrichment and vector indexing Integrate NLP workflows for document ingestion summarization and entity extraction via Azure AI Language and Azure Document Intelligence Implement reranking models using transformer-based scoring and adaptive feedback loops Manage vector stores Azure Cosmos DB Azure SQL FAISS for low-latency retrieval Design and maintain FastAPI-based microservices for inference orchestration and pipeline control Collaborate with DevOps teams to automate deployments using Azure Developer CLI azd Bicep GitHub Actions Ensure enterprise-grade security and governance using Azure Key Vault RBAC private endpoints and Purview policies Monitor evaluate and optimize model performance using Foundry Observability and Application Insights Required Skills Expert-level Python LangChain FastAPI PyTorch TensorFlow Strong understanding of RAG architecture embeddings and semantic search principles Hands-on experience with Azure AI Search Azure OpenAI Azure AI Foundry and Document Intelligence Proficiency with Docker GitHub Codespaces and container deployment workflows Familiarity with hybrid retrieval and reranking techniques BM25 neural rerankers Strong foundation in NLP tokenization chunking summarization NER sentiment analysis Experience working with vector databases and embedding models Knowledge of Azure DevOps Bicep Terraform and CI CD pipelines Understanding of security best practices for AI systems private endpoints RBAC secrets management Preferred Qualifications Experience in legal tech document automation or enterprise document workflows Familiarity with Azure Machine Learning for fine-tuning and MLOps Exposure to agentic AI agent applications and multi-turn workflow automation Knowledge of compliance frameworks and secure AI deployment environments Job Types Part-time Freelance Contract length 12 months Pay 30 000 00 - 40 000 00 per month Advantages Work from home Experience total work 6 years Required Shift availability Night Shift Required Overnight Shift Required Work Location Remote

📌 Azure Ai Rag Engineer (India)
🏢 Redlinux
📍 India