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