1 to 25 of 47 Permanent Model Context Protocol Jobs in the South East

harden the browser capabilities that make Menlo's features possible. The role blends deep systems and networking engineering with hands-on work on MCP (Model Context Protocol) servers, alongside the cloud infrastructure (AWS, GCP, Kubernetes, Terraform, Linux) that supports them. You'll work alongside engineers across Chromium … expertise to harden Menlo's browser isolation and network-facing infrastructure. Partner with the MARS team to build and integrate AI agent capabilities and MCP (Model Context Protocol) servers into Menlo's platform. Use Python or Rust to build supporting tooling, services, and prototypes alongside core C++ ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

deliver AI innovation opportunities across our Salesforce platform landscape — including Salesforce Agentforce, Data Cloud (Data 360), and Model Context Protocol (MCP)-based integrations, as well as adjacent AI tooling. The role focuses on hunting for value opportunities for sales teams; understanding the data and process foundations required … customer/employee experience Document current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrations Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human ...

tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access control, secrets management, security … with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with ...

based tools are part of the daily toolkit here — used to synthesize customer and competitive signal, pressure-test requirements, and prototype against MCP clients and agent runtimes before a single line of production code is written. The person in this role will be defining security for a category they … ownership of an assigned surface area of MARS for Agents — across capabilities such as the agent registry, Claude integration, Microsoft Copilot integration, MCP Server, MCP Proxy, and LLM proxy — from researched opportunity, to written requirement, to shipped and supported capability. A current, honest, decision-changing competitive point of view ...

optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from … translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

Engineer to lead the build of an enterprise AI evidence discovery platform using SharePoint, Azure AI services and Model Context Protocol (MCP ). The role involves designing AI-powered search and retrieval capabilities across documents, emails, contracts and risk artefacts, while mentoring a junior engineer. Responsibilities - Develop … MCP servers exposing SharePoint and Azure AI Search capabilities to AI agents. - Build SharePoint and Microsoft Graph ingestion pipelines for documents, emails and attachments. - Design and implement RAG and agentic AI workflows using Azure OpenAI. - Deliver hybrid search solutions combining semantic and vector retrieval. - Implement secure, permission-aware access controls ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

surface an agent is permitted to touch alongside what needs a human to sign it off, and giving scientists a way to describe a protocol and watch it run. A recurring theme is closing the loop, since assuming a command was obeyed is rarely good enough. Depending … Design data models and pipelines for experimental data, sample tracking, and provenance, so that results are traceable from raw instrument output back to the protocol and physical sample that produced them. Work directly with scientists to understand manual protocols, then translate them into automated workflows, iterating as the biologyand ...

guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards … production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across ...

/application development Strong SQL skills Experience working with AI/LLMs within applications Experience with agentic AI/agentic workflows Experience with MCPs (Model Context Protocol) Strong understanding of VisOps, UX and data storytelling Experience creating clear, executive-level reporting and analytics What Will Make ...

/application development Strong SQL skills Experience working with AI/LLMs within applications Experience with agentic AI/agentic workflows Experience with MCPs (Model Context Protocol) Strong understanding of VisOps, UX and data storytelling Experience creating clear, executive-level reporting and analytics What Will Make ...

concepts or modern AI development tools Experience with distributed, event-driven, or large-scale systems Familiarity with emerging engineering tools such as MCP, Cline, Aider, Cursor, or GitHub Copilot Open-source contributions, personal technical projects, or hackathon experience How You'll Thrive Here We're looking for engineers ...

voice, chat and email. Our agents are already live: a pay as you go voice assistant built on a real time speech to speech model, a multi channel customer facing agent spanning voice, chat and WhatsApp, and a standalone agentic webchat service running on AgentCore Runtime. As a Senior … harness. Define what accuracy, containment and safe behaviour mean for each product, assemble regression sets, and make it possible to ship a prompt or model change with evidence rather than optimism. Implement guardrails and safety controls, including PII handling, out of scope refusal, jailbreak resistance and clean escalation ...

DevOps, RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. ...

problem-solving skills and the ability to work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases ...

/risk/audit experience Deep knowledge of GenAI and Agentic AI security risks Experience with AWS, Azure and/or GCP Exposure to MCP, A2A, AI tool integrations and threat modelling are strong advantageous Strong technology risk/internal audit background Certification such as CCSP, CCSK, AWS, CISA, CISSP ...

move into defensive Product Security. Experience using AI or agentic AI within security engineering, code review or vulnerability triage. Experience securing LLMs, AI agents, MCP or other AI-enabled systems. Cloud, container or Kubernetes security experience, plus exposure to C#, .NET, Python, Bash or PowerShell. This Role Probably ...

command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers. Hands‐on experience with low‐code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce). Proficiency in scripting (JavaScript and/ ...

technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business challenges into practical technical solutions. Using tools such … turn them into structured, scalable solutions. Microsoft AI experience Experience across the Microsoft AI ecosystem would be particularly valuable, including: Foundry Agents Cognitive Services MCP AI evaluation, testing and observability Previous experience working within a Microsoft Partner, consultancy, MSP or professional services environment would also be highly advantageous. Why this ...

powered features across the healthcare platform, building LLM, Generative AI, and Agentic AI solutions for production use. You will work on multi-agent workflows, MCP implementations, RAG, vector databases, and real-time AI pipelines, ensuring secure and scalable services. #J-18808-Ljbffr ...

quality of what is deliveredMentor engineers on craft, and develop their judgement about when and how to use AI toolingBuild and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platformBuild systems, tools and solutions in an AI-native wayRepresent engineering credibly with ...