We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with creative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

As an Application Engineer for AI Automation, you will be at the clinical edge of our intelligence layer. This isn't just about writing code; it's about architecting the nervous system of our automated enterprise. You will bridge the gap between heavy-duty enterprise platforms (Salesforce, Zuora, ServiceNow) and the next generation of Agentic AI.

Your primary mission will be building high-performance Model Context Protocol (MCP) servers that allow AI agents to interact deeply with complex business logic—specifically within the Salesforce ecosystem (Quote, Chance, and Renewal services). You’ll move from building RAG-based retrieval to orchestrating Agent-to-Agent communication,



creating a seamless autonomous workflow across our tech stack.

Key Responsibilities
Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Prospect, Renewal) and other core platforms to AI agents.
Data Model Synthesis: Rapidly decompose the data models of enterprise applications like Zuora, Salesforce, and ServiceNow to build effective schemas for AI interaction.
Build AI Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) workflows and AI agents that can execute complex tasks with minimal human intervention.
Agentic Orchestration: Lead the transition from simple chatbots to Agentic AI, focusing on multi-agent collaboration and autonomous "Agent-to-Agent" communication.
Integration Engineering: Build and maintain secure, scalable integrations using REST APIs across disparate cloud environments.
Technical Leadership: Act as a s

📌 Application Engineer Bengaluru (India)
🏢 Pure Storage
📍 India