coding workflows, such as running AI agents on multi-step tasks, writing custom rules or context files, or using MCP servers

of discovery - across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers

prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI

is strongly preferred. MCP – Microsoft Certified Professional is strongly preferred. Linux/Solaris/UNIX System Administration

(Python, JavaScript/Node, APIs, SDKs), and fluent with AI development tooling (Claude, Cursor, agent frameworks, MCP). A CS... systems the field deploys into: demo automation, agent and MCP skill packages, workflow plugins, and the discoverable asset

MCP (Model Context Protocol) servers that provide agents secure access to CRM, supplier directory, and payments data..., and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI

, and Skills: Experience with agent frameworks and protocols (Google ADK, LangGraph, MCP, A2A, AG-UI) Experience with Databricks

Center APIs, MCP, and integrations Find the root cause. Read device, agent and browser logs, reproduce issues in a test

audiences Preferred qualifications, capabilities, and skills Experience with agent frameworks and protocols (MCP, A2A

using A2A and integrate tools and data through MCP servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk... Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks or runtimes, A2A, or MCP Agent memory

protocols and frameworks such as MCP, A2A, AG-UI, Google ADK, or LangGraph Experience with agent payment and mandate patterns

for security/compliance risk before merge. Familiarity with prompt-based tooling and MCP (Model Context Protocol) integrations

, including MCP/tool abstraction, credential management and enterprise API integration Contributing to AgentOps and GenAIOps

development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP

for stakeholders at all levels. Familiarity with AI technologies (such as LLMs and MCP), data ingestion methods and marketing

, including MCP/tool abstraction, credential management and enterprise API integration Contributing to AgentOps and GenAIOps

. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM..., and maintain production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational

and potentially multi-agent workflows (MCP and LangGraph are relevant). Cybersecurity in depth (for systems and networks, finding

AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure

one market Experience with custom integrations such Finsweet Attributes, GSAP, the Webflow API or MCP The Perks