Position Name : Senior AI Full Stack Engineer with Chatbot exp

Work Mode : Remote

Job Description :

Look for candidates having Chatbot development experience

Someone who has personally built an Agentic AI or RAG solution

Someone who has personally built AI full stack application

RAG Systems Observability

Kubernetes

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