Millennium Global Technologies

You would maintain and extend a production AI chatbot, build frontend and backend features, support LLM workflows and integrations, and operate its Azure platform and deployments. | The role requires 6+ years of software engineering with Python and React/TypeScript, production LLM experience, Azure operations and identity familiarity, and comfort working in a regulated environment. | Position Name : AI Full Stack(Azure) There are 2 open positions Any valid US work visa is acceptable Work Mode : Remote Job Description : About the Engagement You will join a small, dedicated team supporting and evolving a commercial AI chatbot platform for a US pharmaceutical client. The platform is live, serving a field sales organization, and built on Python FastAPI, React, and multi-agent LLM orchestration running on Azure Container Apps. The work is a mix of production support, feature engineering, and platform operations. You will own delivery end to end within the client's existing Azure DevOps environment. What You Will Do Application engineering (primary) • Maintain and extend the FastAPI backend and React/TypeScript frontend • Develop and support multi-agent workflows: intent routing, product Q&A;, field scheduling, and analytics • Maintain compliance controls, policy enforcement, and audit logging • Support integrations with Microsoft Graph/Outlook, Veeva/Salesforce (OBO flows), and Microsoft Fabric • Manage the Markdown-based knowledge retrieval pipeline • Investigate and resolve production incidents from Sev 1 through Sev 4 within agreed SLAs • Deliver features from requirement through peer-reviewed PR, test, and release Platform operations (secondary, as needed) • Operate Azure Container Apps across Dev, QA, and Production: deployments, revision management, rollback • Maintain Azure DevOps YAML pipelines and Bicep infrastructure definitions • Manage Key Vault, Managed Identity, and secrets governance • Configure and maintain Application Insights, Log Analytics, and Azure Monitor alerting What You Need • 6+ years in software engineering with Python and TypeScript/React as primary skills • Production experience building or operating agentic or LLM-based systems • Working knowledge of Azure Container Apps, Key Vault, Managed Identity, and Azure DevOps pipelines • Familiarity with Microsoft Entra ID and MSAL authentication flows • Comfortable operating in a regulated environment with change governance and PR-gated deployments • US-based; available during US Central Time business hours Preferred • Azure certification: Developer Associate, Solutions Architect Expert, or DevOps Engineer Expert • Experience with Anthropic Claude API or comparable LLM APIs • Familiarity with Veeva CRM, Salesforce Apex, or Microsoft Graph integrations • Prior work in pharma, life sciences, or commercial operations platforms