Application Engineer (AI Automation)

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative 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. THE ROLE 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, Opportunity, 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. WHAT YOU’LL DO Architect Agentic Infrastructure: Design and implement robust MCP (Model Context Protocol) servers that expose complex Salesforce services (Quote, Opportunity, Renewal) to AI agents, moving the needle from passive retrieval to active execution. Synthesize Enterprise Data Models: Rapidly decompose the data structures of Salesforce, Zuora, and ServiceNow to build effective schemas and AI pipelines that allow agents to interact deeply with core business logic. Orchestrate Autonomous Workflows: Lead the transition to Agentic AI by developing multi-agent collaboration frameworks where specialized agents (e.g., Sales, Billing, and Contract agents) communicate and execute tasks with minimal human intervention. Optimize AI Pipelines: Build and refine high-performance RAG (Retrieval-Augmented Generation) architectures and secure REST API integrations to ensure AI agents have the context and connectivity needed to operate across disparate cloud environments. Drive Technical Evolution: Act as the subject matter expert for AI automation, guiding our strategy for decentralized agent networks and setting the standard for how AI interacts with enterprise-grade tech stacks. WHAT YOU BRING Software Engineering Mastery: Extensive professional experience in software engineering with expert-level proficiency in Python for AI orchestration and JavaScript, TypeScript, or Java for enterprise service development. AI Protocol Specialization: Proven success building AI agents using the Model Context Protocol (MCP) and implementing advanced RAG architectures to solve complex business problems. Enterprise Platform Fluency: Deep knowledge of the Salesforce API/Object model and the ability to autonomously master new platforms like Zuora or ServiceNow by deconstructing their data relationships and documentation. Integration API Expertise: Advanced skill in designing and consuming RESTful APIs, managing complex OAuth flows, and architecting secure, scalable integrations between disparate global systems. Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of pe ... (truncated, view full listing at source)