with planning/reasoning, memory systems, MCP and Vector DBs Practical knowledge of LLMs and their application within agentic

AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working

and third-party integrations, including Model Context Protocol (MCP) connectors. Provision and maintain sandbox and staging... pipelines Experience configuring and securing API gateways and AI integration services. Understanding of MCP (Model Context

improvements. Drive AI enabled operations using Bedrock/SageMaker and the Model Context Protocol (MCP) for log analysis, anomaly...). Applying AI within CI/CD, observability, and incident response using Bedrock / SageMaker and MCP. KEY NFO: **Visa

and blameless postmortems. Champion AI-enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log..., observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery

integrations with security and operational tooling Working with modern agent orchestration frameworks and MCP Contributing..., detection/response automation, or similar systems Knowledge of agent orchestration frameworks and MCP Experience taking

tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration

UIs (Claude Code, MCP, custom agents); time in or working with SDR/BDR and demand gen function in B2B SaaS. The stack

and Research Agents, to deliver cutting-edge insights and functionality. Platform Integrations: Enhancing and expanding MCP server

act autonomously. Preferred experience Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the

tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration

and tools, telemetry and evaluation. Building an engineering knowledge base exposed through a MCP server, so engineers

). Proficiency with modern AI tooling like agentic coding, MCP servers and AI platform building. In-depth knowledge of Agile

teams to translate integration requirements into technical deliverables. Designing integrations that maximise reuse of MCP

management. By leveraging recent advances in LLMs and agentic tools (MCP, LangChain, etc), the project will design, specify

. What you will be doing Building and shipping LLM-backed agents: tool use, MCP servers, retrieval, orchestration between specialist agents... with MCP server development Experience with time series or analytical databases (kdb+/KDB-X, ClickHouse, Oracle) Python, Java

, model orchestration, MCP/tool gateways, agent control planes, identity, governance, security, data platforms, code..., vector stores, code repositories, and MCP-compatible tools. Contribute to core Kendra Fabric modules, including AI gateway

Intelligence, AI Services) Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool

and other pods where the Agents surface touches LLM control, MCP, or the core API gateway – and vice versa. Your impact... governance for AI and LLM systems. Familiarity with the Model Context Protocol (MCP) or similar orchestration standards

capabilities like MCP/ cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excellence