Senior AI Applications Engineer

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