Looking for an experienced developer who can support with a backend integration task involving two databases and Azure AI services. The project requires connecting different data sources, processing data, and building a flow that uses LLM (Azure OpenAI) to query Cosmos DB and integrate with a UI layer. **Key Responsibilities:** * Establish secure and reliable connections between: * A remote SQL database (accessed via pgAdmin 4) * Azure Cosmos DB (Gremlin API) hosted on another server * Perform data extraction and filtering by writing efficient SQL queries, including joins across multiple tables. * Query Azure Cosmos DB using the Gremlin API for recommendation-related data retrieval. * Build Python scripts to orchestrate data fetching, transformation, and communication between the databases. * Integrate Azure OpenAI LLM to perform natural language-style queries to Cosmos DB and return structured output. * Pass the processed results to the EdgeVerve AINext UI screen. * Ensure best practices in performance, error handling, and security. **Required Skills:** * Azure Cosmos DB (Gremlin API) * Hands-on experience with **SQL databases**, **pgAdmin 4**, and SQL joins * Solid Python development skills * Experience working with **Azure OpenAI LLMs** * Ability to integrate and orchestrate data between multiple remote servers * Understanding of API calls, data pipelines, and backend integration * Experience with EdgeVerve AINext is a plus (optional but helpful)