Senior AI Integration & Platform Engineer

Experience: 8+ Years
Location: Remote PAN India
Preferred Locations: Noida / Pune / Bangalore / Gurgaon / Indore / Ahmedabad / Chennai
Employment Type: Full-Time

We are looking for a Senior AI Integration & Platform Engineer with 8+ years of experience in software engineering, cloud platforms, application development, and enterprise integrations.

The ideal candidate will have strong hands-on experience with MCP (Model Context Protocol), AI Agents, LLM applications, REST/GraphQL APIs, Microsoft Copilot extensibility, Microsoft Graph, and cloud platforms
.

This role will focus on building secure, scalable, and reusable AI integrations, connectors, plugins, and extensions that improve developer productivity and enable AI capabilities across the software development lifecycle.

• Design, develop, and maintain AI connectors and integrations using MCP, REST/GraphQL APIs, webhooks, and enterprise platforms
  .
• Build reusable AI skills, plugins, connectors, and extensions for platforms such as Microsoft 365 Copilot, Git Hub Copilot, and other GenAI platforms
  .
• Develop and integrate AI agents and tool/function-calling capabilities into enterprise applications and development workflows.
• Build LLM-powered applications using prompt engineering, retrieval, and effective context management.
• Integrate AI capabilities across the software development lifecycle to improve developer productivity, automation, and delivery outcomes.
• Ensure integrations meet enterprise requirements for security, authentication, governance, compliance, observability, and lifecycle management
  .
• Work with cloud platforms such as Azure, AWS, or GCP and containerized environments.
• Implement secure authentication and authorization using OAuth 2.0, OIDC
  , and secure credential management practices.
• Support CI/CD, automated testing, Infrastructure as Code, and production deployment of AI integrations.
• Create technical documentation and provide enablement, guidance, and support to development teams adopting AI-enabled solutions.
• Continuously evaluate emerging GenAI, AI agent, MCP, and enterprise AI technologies and identify opportunities for adoption.

• MCP (Model Context Protocol)
• AI Agents / Agentic AI / Tool Calling / Function Calling
• LLM / Generative AI Application Development
• REST / GraphQL API Development & Integration
• Microsoft Graph & Microsoft 365 Copilot Extensibility
• Python / Java / Type Script / Java Script
• Prompt Engineering, Retrieval, RAG, and Context Management
• Azure / AWS / GCP
• Docker / Containers
• OAuth 2.0 / OIDC
• CI/CD and Infrastructure as Code
• Automated Testing, Security, Governance, and Observability

• Hands-on experience with Git Hub Copilot
• Experience building Copilot plugins, connectors, or extensions
• Experience with enterprise GenAI platforms
• Experience in developer productivity platforms and software engineering tools
• Experience with Kubernetes and cloud-native architectures
• Knowledge of AI governance, compliance, monitoring, and production lifecycle management

The candidate should be a regular user of enterprise AI tools such as:

• Git Hub Copilot
• Microsoft 365 Copilot
• Other enterprise GenAI platforms

The candidate should be able to demonstrate practical use of AI for coding, documentation, analysis, automation, troubleshooting, and productivity improvement
.

• 8+ years of strong software engineering experience.
• Strong hands-on development and enterprise integration experience.
• Proven experience working with GenAI/LLM applications and AI agents
  .
• Strong understanding of APIs, cloud platforms, authentication, and secure enterprise integrations.
• Excellent communication and collaboration skills
  .
• Ability to work with development teams, document solutions, and support adoption of AI-enabled platforms.