Everpure
Data Storage
ApplicationEngineer(AIAutomation)
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“Application Engineer (AI Automation) at Everpure. Skills: Python, AI Agents, RAG, Salesforce. Architect MCP Servers. Design and implement MCP servers”
What You'll Achieve.
Architecting the nervous system of our automated enterprise; Building high-performance MCP servers; Allow AI agents to interact deeply with complex business logic; Creating a seamless autonomous workflow; Lead the transition from simple chatbots to Agentic AI; Negotiate data autonomously
Industry & Context.
Decompose data models; Understand underlying data relationships
What They're Looking For.
Must Have
5+ years in professional software engineering, Expert-level proficiency in Python, Expert-level proficiency in JavaScript/TypeScript or Java, Knowledge of Salesforce Sales Cloud (API/Object model mandatory), Proven experience building AI agents using MCP, Proven experience implementing RAG architectures, Deep expertise in designing and consuming RESTful APIs, Deep expertise in handling complex authentication/OAuth flows, Ability to pick up new tools like Zuora and understand data relationships
Nice to Have
Apex knowledge, Familiarity with vector databases (Pinecone, Weaviate, or Milvus), Background in SalesOps automation (Quote-to-Cash processes), Contributions to open-source MCP servers or AI frameworks
What You'll Do.
Architect MCP Servers
Design and implement MCP servers
Expose Salesforce services to AI agents
Decompose data models of enterprise applications
Develop and optimize RAG workflows
Orchestrate Agent-to-Agent communication
Build and maintain integrations using REST APIs
Act as subject matter expert for AI automation
Guide evolution of automation strategy
Mentor junior engineers
How You'll Work.
Team & Collaboration
Collaborate with product teams; Work with junior engineers; Build each other up; Set aside ego for the greater good
Full Job Description
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. Role Overview 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. Key Responsibilities Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Opportunity, 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 sub
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