Senior AI Applications Engineer - Remote. Must have skills Python, Azure and LLM

Senior AI Applications Engineer (Python, Azure, LLM) Role Overview We are seeking a Senior AI Applications Engineer to design and develop AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The role focuses on building intelligent systems such as AI-driven data portals, natural language analytics tools, and AI-assisted email automation platforms that interact with enterprise datasets. The ideal candidate should be comfortable designing and implementing LLM-based application logic including prompt workflows, embeddings pipelines, Retrieval-Augmented Generation (RAG), and integrations with enterprise data and APIs. The candidate should have experience working in Azure environments and containerized deployments. Key ResponsibilitiesAI Application DevelopmentDesign and develop AI-powered applications using PythonBuild systems using Large Language Models (LLMs) for natural language interaction with enterprise dataDevelop solutions such as AI data portals and intelligent email automation systemsImplement workflows that generate embeddings for historical data and enable contextual AI responsesLLM & AI EngineeringBuild solutions using prompt engineering, RAG architectures, embeddings pipelines, and vector searchWork with LLM platforms such as OpenAI, Azure OpenAI, or similar modelsImplement MCP-based integrations to connect LLMs with tools, APIs, and enterprise data sourcesDevelop semantic search and knowledge retrieval capabilities for AI applicationsIntegration & Data ConnectivityIntegrate AI applications with enterprise datasets, APIs, and external systemsImplement integrations with REST APIs and enterprise servicesWork with authentication and authorization mechanisms (OAuth, tokens, service principals, etc.)Enable natural language interaction with structured enterprise dataRequired SkillsStrong Python development experienceExperience building AI/LLM-powered applicationsStrong experience with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings pipelines, vector search, and MCP-based tool integrationsExperience working with LLM platforms such as OpenAI, Azure OpenAI, or similar modelsExperience integrating applications with REST APIs and external servicesUnderstanding of authentication and authorization mechanisms used in enterprise applicationsExperience developing applications in Microsoft Azure environmentsFamiliarity with containerized deployments (Docker, Azure Container Apps, Kubernetes) and environments using CI/CD pipelines