Key Responsibilities:
• Design, develop, and maintain AI connectors and integrations using MCP, REST/GraphQL APIs, webhooks, and enterprise platforms.
• Build reusable AI skills, plugins, and extensions for tools such as Microsoft 365 Copilot, GitHub Copilot, and other GenAI platforms.
• Integrate AI capabilities across the software development lifecycle to improve developer productivity and delivery outcomes.
• Ensure security, governance, compliance, observability, authentication, and lifecycle management of integrations.
• Provide documentation, enablement, and support for development teams adopting AI-enabled

Eligibility:
• Overall 8+ years of experience in software engineering, cloud, development, or DevOps.
• Robust programming skills in Python/ Java, or TypeScript/JavaScript




• API development and integration (REST/GraphQL)
• MCP (Model Context Protocol), AI agents, tool/function calling
• Microsoft Graph, Copilot extensibility, plugins/connectors
• LLM application development, prompt engineering, retrieval, and context management
• Cloud platforms (Azure/AWS/GCP), containers, Infrastructure as Code
• OAuth 2.0, OIDC, CI/CD, automated testing, secure credential management
• AI Expectations: Regular use of enterprise AI tools (GitHub Copilot, Microsoft 365 Copilot, GenAI platforms),Ability to apply AI for coding, documentation, analysis, and productivity improvements

📌 Agentic AI Engineer (Bengaluru)
🏢 Persistent Systems
📍 Bengaluru