Vacancy Description
**Job Description**
**NOTE: This is a 1-year, Fixed-Term Position.**
Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you’ll work hands-on to implement LLM/RAG services, build tool-using agents, and integrate with enterprise platforms (ServiceNow, Salesforce, Oracle Financials, etc.) using modern interoperability standards such as the Model Context Protocol (MCP), while following strong MLOps/SDLC practices. You’ll prototype, harden, and ship features, partnering closely with product, security, infrastructure, and application teams.
This is an applied engineering role (not research). You’ll learn rapidly, contribute code daily, write clear docs, and develop strong habits in quality, governance, and cost/latency optimization.
**Desired Knowledge, Skills, and Abilities:**
+ **Agent Interoperability ...
**NOTE: This is a 1-year, Fixed-Term Position.**
Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you’ll work hands-on to implement LLM/RAG services, build tool-using agents, and integrate with enterprise platforms (ServiceNow, Salesforce, Oracle Financials, etc.) using modern interoperability standards such as the Model Context Protocol (MCP), while following strong MLOps/SDLC practices. You’ll prototype, harden, and ship features, partnering closely with product, security, infrastructure, and application teams.
This is an applied engineering role (not research). You’ll learn rapidly, contribute code daily, write clear docs, and develop strong habits in quality, governance, and cost/latency optimization.
**Desired Knowledge, Skills, and Abilities:**
+ **Agent Interoperability ...
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