Senior AI Applications Engineer (Python, Azure, LLM) Location Atlanta- Hybrid 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
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