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We are looking for a talented Mid-Level Full Stack Developer to contribute to the development of Generative AI applications using Azure and OpenAI technologies. You'll work in an environment that integrates various Azure cloud services, AI models, and databases, with a focus on building applications with a seamless user experience.

Responsibilities:

. Develop and maintain front-end and back-end components of AI applications using React and Python, leveraging Azure App Services.
. Integrate Azure OpenAI models (GPT-4, DALLE-3, Whisper), Bing Search, and Azure ML Studio into custom-built applications.
. Work with databases such as Cosmos DB, SQL Server, and Weaviate, following best practices for data storage and retrieval.
. Develop secure and scalable applications using VNet and Private Endpoint configurations in Azure.
. Implement APIs for interaction with large language models (LLMs) and document processing systems (e.g., Hugging Face, LangChain).
. Collaborate with AI engineers to design and deploy Generative AI solutions.
. Use Azure Key Vault, RBAC (Role-Based Access Control), and Log Insights for monitoring and securing application infrastructure.
. Implement CI/CD automation using Azure DevOps and GitHub.

Requirements:

. 3+ years of professional experience in full-stack development.
. Strong proficiency in front-end development using React and back-end development with Python.
. Experience with Azure services, including App Services, SQL Server, Blob Storage, Cosmos DB, and Azure AI.
. Familiarity with integrating AI models (e.g., GPT-4, Whisper, DALLE-3).
. Experience with cloud security practices, including VNet, Private Endpoints, and Key Vault.
. Knowledge of containerization and orchestration using Docker and Kubernetes.
. Familiarity with CI/CD pipelines and version control using Azure DevOps and GitHub.
. Good to Have: Experience with Weaviate, LangChain, Hugging Face, or Neo4j databases.