AI Full Stack Engineer
Anitha R.United StatesSENIORPosted 4d ago
PythonTypeScriptReactFastAPIAzureAzure Container AppsAzure DevOpsKey VaultManaged IdentityMicrosoft Entra IDMSALMicrosoft GraphVeevaSalesforceAnthropic Claude API
About the Role
AcquityNode is seeking an AI Full Stack Engineer with Azure expertise to join their team. This role involves maintaining and extending backend and frontend systems while supporting multi-agent workflows and integrations.
Key Responsibilities
• 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
• 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
Requirements
• 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