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