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 Responsibilities AI Application Development • Design and develop AI-powered applications using Python • Build systems using Large Language Models (LLMs) for natural language interaction with enterprise data • Develop solutions such as AI data portals and intelligent email automation systems • Implement workflows that generate embeddings for historical data and enable contextual AI responses LLM & AI Engineering • Build solutions using prompt engineering, RAG architectures, embeddings pipelines, and vector search • Work with LLM platforms such as OpenAI, Azure OpenAI, or similar models • Implement MCP-based integrations to connect LLMs with tools, APIs, and enterprise data sources • Develop semantic search and knowledge retrieval capabilities for AI applications Integration & Data Connectivity • Integrate AI applications with enterprise datasets, APIs, and external systems • Implement integrations with REST APIs and enterprise services • Work with authentication and authorization mechanisms (OAuth, tokens, service principals, etc.) • Enable natural language interaction with structured enterprise data Required Skills • Strong Python development experience • Experience building AI/LLM-powered applications • Strong experience with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings pipelines, vector search, and MCP-based tool integrations • Experience working with LLM platforms such as OpenAI, Azure OpenAI, or similar models • Experience integrating applications with REST APIs and external services • Understanding of authentication and authorization mechanisms used in enterprise applications • Experience developing applications in Microsoft Azure environments • Familiarity with containerized deployments (Docker, Azure Container Apps, Kubernetes) and environments using CI/CD pipelines