Full Stack Developer With AI

Millennium Global Technologies; Washington (District of Columbia); Remote; USD 120,000 - 180,000; Full time

Job summary

Millennium Global Technologies seeks an AI Full Stack engineer (Azure) for a remote role serving a US pharmaceutical client. You will own end-to-end delivery in a DevOps-driven Azure environment, supporting an AI chatbot platform built on Python FastAPI and React/TypeScript.

The role emphasizes production support, feature engineering, and platform operations, with focus on multi-agent workflows and cloud-native deployments. US-based, remote.

Qualifications

• 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.

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 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.

Skills

Python

TypeScript/React

LLM-based systems

US Central Time availability

Tools

Azure Container Apps

Key Vault

Managed Identity

Azure DevOps pipelines

Job description

Position Name : AI Full Stack(Azure)

There are 2 open positions

Any valid US work visa is acceptable

Work Mode : Remote

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