Position: AI Full Stack Engineer (Azure)
Location: Remote
About the Role:
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 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
Required:
6+ years in software engineering with Python and TypeScript/React as primary skills
Production experience building or operating agentic or LLM-based system
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