20 of 20 Remote/Hybrid Model Context Protocol Jobs

Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection … environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build ...

across a Microsoft technology stack. You will work closely with software engineers, data specialists, and product teams to integrate Azure AI, Microsoft CoPilot, and Model Context Protocol into existing business systems. While experience with C# and .NET would be highly beneficial, it is not essential … ecosystem Strong understanding of APIs, data flows, and application architecture Experience of .NET and C# development is desirable but not essential Familiarity with CoPilot, Model Context Protocol, or similar AI technologies Excellent problem-solving, communication, and collaboration skill This role offers the opportunity to take ownership ...

problems. They're hiring a Principal Platform Engineer to own the design and delivery of a suite of Model Context Protocol (MCP) servers - the trusted, governed gateway between AI agents and their core payments platform. This is a hands-on principal role. You'll set technical direction … write production code, not just review it. What you'll be doing: Owning the architecture and delivery of MCP servers that expose platform data and capabilities to AI agents and internal developer tooling Designing the transport and session model (Streamable including stateful sessions for progress streaming, subscriptions, sampling ...

Senior Software Engineer MCP/AI Tooling Really exciting Senior Software Engineer role to help build a new generation of AI-native developer infrastructure. This role focuses on designing and building Model Context Protocol (MCP) servers and tooling that securely expose platform capabilities to AI agents, internal … enable large language models and agentic systems to interact safely, reliably, and effectively with real production environments. What Youll Be Doing Design and build MCP servers, tools, and integrations Develop secure APIs and services for AI agents and internal tooling Implement authentication, session handling, streaming, and stateful interactions Help define ...

Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping … development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length ...

cases in Corporate IT (productivity, collaboration, automation). Knowledge/experience with agentic AI and the model context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

Mosaic AI, MLflow 3.0, and Unity Catalog Designing multi-agent systems with LangGraph, CrewAI, AutoGen, Semantic Kernel, and Bedrock Agents Defining enterprise standards for MCP servers, A2A communication, and agent-to-system interoperability Owning Responsible AI guardrails aligned to NIST AI RMF, EU AI Act, and ISO/ ...

from monolithic to microservice architectures Experience deploying or governing enterprise AI tooling (Claude Enterprise, Copilot, or similar), particularly around secure rollout, usage policies, and MCP integrations What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity ...

operations integrations. Experience migrating legacy e-commerce platforms to modern architectures. Experience orchestrating autonomous coding agents, using cloud-based coding agents, or building MCP integrations. Experience integrating LLMs into production software or internal engineering workflows. Active participation in the Drupal community, including contrib modules, issue queues, DrupalCon, or related community ...

ODCS), and practical experience implementing quality, schema, and SLA commitments in production. Familiarity with the machine interface layer: APIs (REST, GraphQL), AI agent frameworks, MCP, vectorization, and low-latency query patterns for AI consumption. Understanding of foundational governance capabilities: access security (Entra ID, Unity Catalog), data lineage tooling, CI/ ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. Whats on Offer Opportunity to shape ...

Experience building and deploying AI products into production environments Python and modern backend engineering experience Experience with LLMs, RAG architectures and agentic AI systems MCP or similar protocols for connecting AI systems with tools and external services Strong product thinking and commercial awareness Experience operating within high-growth, scale ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

process at varying customer scales, and expertise in associated migration utilities, and hybrid SaaS and on-premise deployment models Experience with Rovo, Agentic AI, MCP, and/or other AI integrations You're fluent in English. Due to a strong customer presence in the DACH region, professional-level German communication ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python … obvious AI platforms such as GPT, Opus, Gemini, Sonnet. You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume ...

works, seeded by real discovery data, not generic “how to prompt” sessions. Build department‐specific AI automations using Claude, including custom Projects, Skills, and MCP integrations. Run the Weekly AI Pulse tracking happiness, confidence, and new automation opportunities across every engagement. Create AI playbooks, Skills, Plugins, onboarding content, and training … modules for graduates and experienced hires. Lead Enterprise AI Fast Start engagements for enterprise customers 6–10 weeks from discovery to handover. Manage the MCP Evaluation Pipeline: assessing, governing, and deploying AI integrations with the right security and governance. Build champions networks that sustain AI adoption beyond any single engagement. ...