Agentic AI Engineer

Persistent Systems

Bengaluru

On-site

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

Persistent Systems in Bengaluru, India seeks an experienced software engineer to design, develop, and maintain AI connectors and integrations across MCP, REST/GraphQL APIs, and enterprise platforms. You will build reusable AI skills and extensions for tools like Microsoft 365 Copilot and GitHub Copilot, enabling AI capabilities across the SDLC to boost developer productivity.

The role requires 8+ years in software engineering, cloud, or DevOps, with strong experience in API development, LLM

Qualifications

  • 8+ years of experience in software engineering, cloud, development, or DevOps.
  • Experience in API development and integration (REST/GraphQL).
  • 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.

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 systems.

Skills

API design & integration
Cloud platforms
DevOps & CI/CD
Security & compliance
Cross-functional collaboration
LLM integration

Tools

MCP
REST/GraphQL
GitHub Copilot
Microsoft 365 Copilot

Job description

  • 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
  • Overall 8+ years of experience in software engineering, cloud, development, or DevOps.
  • API development and integration (REST/GraphQL)
  • 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
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