Application Engineer (AI Automation)
Everpure · Posted Nov 1
Enterprise data storage and management platform for apps, analytics, and AI
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About the role
Everpure is a data platform company whose strategic agenda spans hyperscalers, AI labs, the AI hardware supply chain, and data platform providers. This role sits at the intelligence layer, bridging enterprise platforms such as Salesforce, Zuora, and ServiceNow with Agentic AI. The engineer will build Model Context Protocol (MCP) servers, RAG workflows, and agent-to-agent orchestration to automate quote, opportunity, and renewal processes.
What you will do
- 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 subject matter expert for AI automation, guiding the evolution of our automation strategy and mentoring junior engineers.
Skills used in this role
What the employer is looking for
- 5+ years in professional software engineering.
- Expert-level proficiency in Python (for AI/ML orchestration) and JavaScript/TypeScript or Java (for enterprise services).
- Knowledge of Salesforce Sales Cloud (Apex knowledge is a plus, but understanding the API/Object model is mandatory).
- AI Specialization: Proven experience building AI agents using MCP (Model Context Protocol) and implementing RAG architectures.
- API Mastery: Deep expertise in designing and consuming RESTful APIs and handling complex authentication/OAuth flows.
- Autonomy: A "hunter" mindset for information—you can pick up a new tool like Zuora, read the docs, and understand the underlying data relationships without needing a guided tour.
Preferred qualifications
- Familiarity with vector databases (Pinecone, Weaviate, or Milvus).
- Background in SalesOps automation (specifically Quote-to-Cash processes).
- Contributions to open-source MCP servers or AI frameworks.
Benefits and support
- flexible time off
- wellness resources
- company-sponsored team events
About Everpure
Everpure is an enterprise data storage and management company that unifies all data with an enterprise data cloud, making it easy to manage and get AI-ready fast. Formerly known as Pure Storage, the company delivers an industry-leading, ever-evolving storage and data management platform.
- Industry
- Data Storage
- Company size
- 6000+ employees
- Founded
- 2009
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $470M raised
- 2013-08-29Series E$150M
- 2014-04-23Series F$225M
Leadership
Chairman and CEO
Rob Lee
Chief Technology Officer
Dan FitzSimons
Chief Revenue Officer
Recent coverage
PR Newswire
Everpure's Expanding Business Model Fuels New Long-Term Outlook2026-09-23
Everpure Newsroom
Everpure to Join the S&P 5002026-09-08
HyperFrame Research
Everpure Rebrands From Pure Storage, Reports Record Revenue and Acquisition of 1touch2026-02-27