towards Associate. Previous Microsoft certifications of MCP, MCSE and MCSA will be considered. Our People Our people

familiar with LLM APIs and the surrounding ecosystem, such as model gateways, agent frameworks, MCP, or RAG. You understand

Management, event or messaging patterns, data pipelines and Model Context Protocol (MCP) where it adds clear value. Work.... Microsoft certifications across Microsoft stack The following will be an advantage Experience designing and implementing MCP

, and reliable energy future for all. Job Description Technical Assistant Support to the Repair and Overhaul Mk7 MCP Project

engagements. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling

, and reliable energy future for all. Job Description Technical Assistant Support to the Repair and Overhaul Mk7 MCP Project

, Jupyter Notebooks, or collaborative development tools is desirable. · Experience with LLMs, SLMs, AI Agents and MCP servers

), envoy GenAI/Agentic AI - LangGraph/LangChain or Google ADK, MCP/A2A protocols, prompt engineering, RAG, vLLM serving

deploying agentic AI. CI/CD best practices, including API development, MCP implementation, cloud-based distributed systems

, or workflow automation, together with familiarity with MCP, tool calling, agent orchestration, evaluation, or observability

IQ context layer (Work IQ, Foundry IQ) and to exposing ontologies to external agents via MCP. Experience

AI using Google ADK. Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers. Write... with Model Context Protocol (MCP) and AI/data/service integration is highly desirable. Strong understanding of REST APIs

with LLMs, GenAI tools, and Agentic frameworks (e.g., LangChain, LlamaIndex, MCP tools, automated coding agents) applied

with MCP to integrate LLMs with external data sources and tools At JET, this is how we play Our teams forge connections

, pharmaceuticals or life sciences, including deploying agentic AI. CI/CD best practices, including API development, MCP implementation

, or workflow automation, together with familiarity with MCP, tool calling, agent orchestration, evaluation, or observability

tooling — Cursor, Codex CLI, Cline, Aider): writing custom skills, building subagent systems, implementing MCP servers... (or equivalent agentic CLI tooling) skills, subagents, and MCP servers that become the standard AI tooling distributed to all client

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

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