Integration Engineer - Microsoft Graph & Enterprise AI Systems

Responsibilities

• You'll work closely with senior engineers to expand our platform's integration capabilities-turning technical specifications into production code that consultants rely on daily.
• Integration Development:
• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms
• Microsoft Graph & Enterprise APIs:
• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic
• Security & Compliance:
• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions
• Production Support:
• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation
• Your Profile
• Required:
• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling
• Strongly Preferred:
• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems
• Bonus:
• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications
• Why This Matters
• Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries-directly impacting how effectively consultants can work.
• What makes this interesting:
• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers
• What you'll learn:
• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code
• About FGS Labs
• About FGS Global

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