Application Engineer (AI Automation)
Core
Architecting the nervous system of an automated enterprise by building high-performance Model Context Protocol (MCP) servers and orchestrating Agent-to-Agent communication within the Salesforce ecosystem.
Role type
Senior IC Application Engineer (AI Automation)
Builds
MCP servers, RAG-based AI pipelines, and autonomous multi-agent workflows for enterprise data services.
Domain
Enterprise SaaS (Salesforce, Zuora, ServiceNow) + Agentic AI
Deliverable
production ML models
Required skills
Python, JavaScript/TypeScript, Java, Salesforce Sales Cloud API/Object model, MCP (Model Context Protocol), RAG architectures, RESTful API design, OAuth flows, autonomous data model synthesis
Preferred skills
Vector databases (Pinecone, Weaviate, Milvus), SalesOps automation (Quote-to-Cash), open-source MCP contributions
Technologies
Salesforce, Zuora, ServiceNow, Python, JavaScript, TypeScript, Java, REST APIs, MCP, RAG
Responsibilities
Design and implement robust MCP servers to expose Salesforce services to AI agents; Decompose enterprise data models (Zuora, Salesforce, ServiceNow) for AI interaction; Develop and optimize RAG workflows and AI agents; Lead the transition to multi-agent collaboration and autonomous Agent-to-Agent communication; Build and maintain secure, scalable integrations using REST APIs; Act as a subject matter expert for AI automation and mentor junior engineers
Seniority
Senior, hands-on IC