26 to 50 of 180 Remote Model Context Protocol Jobs

response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege … management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization ...

Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability … support to developers using platform services, triaging and resolving requests and issues. Support governed self‐service access to AI platform capabilities, including model access, retrieval tooling, and evaluation workflows, so AI capabilities can move from prototype to production using standard platform patterns. CI/CD, Release Management & Test Automation ...

culture that values craft, ownership, and continuous learning. Responsibilities Implement software components and applications for AI systems, with a primary focus on MCP (Model Context Protocol) tools and AI agent frameworks Operate as a committed member of a skilled SCRUM team — take ownership of your work, ship … within a leading financial institution Operate in a culture that actively encourages and sponsors personal and professional development Build with cutting‐edge AI tools — MCP, LLMs, agent frameworks — at real enterprise scale Flexible hybrid working model supporting both office collaboration and remote productivity What we’ll provide ...

agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools. Experience deploying containerized applications using ...

Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Core Skills and Qualifications: 12+ years of experience in software engineering, preferably in platform or cloud-native service … trade-offs between latency, capability, cost, and model sizing. Awareness of emerging AI protocols and standards (e.g., Model Context Protocol [MCP], Agent2Agent [A2A]). Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities. R&D at AVEVA Our global team ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI-driven features that hold up under real workloads. The work varies a lot. … solutions for large-scale environments supporting hundreds or thousands of Salesforce users. • Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.**Consulting & Delivery** • Proven experience translating complex business requirements and user stories into scalable technical solutions. • Experience ...

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 ...

delivering enterprise-grade technology solutions within large-scale environments. Good understanding of Generative AI concepts including: AI Agents Large Language Models (LLMs) Prompt Engineering Context Engineering Retrieval-Augmented Generation (RAG) Tool/Function Calling Responsible AI Practices Experience supporting engineering teams through the full Software Development Lifecycle (SDLC). … requirements. Experience working within Agile delivery environments. Desirable Experience Experience building or supporting AI Agents, AI Assistants, Copilots, or AI Enablement Platforms. Knowledge of MCP (Model Context Protocol) and enterprise AI integration frameworks. Experience with AI governance, evaluation frameworks, observability, and LLMOps. Experience with enterprise integration technologies ...

project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques #J-18808-Ljbffr ...

enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible ...

intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible ...

intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible ...

intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible ...

intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible ...

tooling including Application Insights, Azure Monitor and Log Analytics . Knowledge of emerging AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure Solutions Architect Expert (AZ-305) Azure Developer Associate (AZ-204) Key technologies Azure APIM | Azure | REST ...

tooling including Application Insights, Azure Monitor and Log Analytics . Knowledge of emerging AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure Solutions Architect Expert (AZ-305) Azure Developer Associate (AZ-204) Key technologies Additional Information Why Version ...

sources and integrations to maximise solution effectiveness. Monitor and continually improve agent performance based on user feedback and business outcomes. Data & Integration Understand APIs, MCP servers and connectors that enable secure access to business systems and data. Integrate AI solutions with Microsoft 365, SharePoint & CRM systems and other enterprise platforms. … Azure AI. Experience building chatbots, copilots, virtual assistants or agent‐based solutions. Awareness of emerging concepts such as Model Context Protocol (MCP), Retrieval Augmented Generation (RAG) or multi‐agent architectures. Personal Attributes Naturally curious Has a genuine interest in emerging technologies and continuously seeks to learn ...

products with clear human oversight, measurable outcomes and safe rollback. Principal Accountabilities Design, build and operate the enterprise agentic platform, including orchestration, runtime services, model routing, memory, identity and policy enforcement. Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently. … controls. Integrate agents securely with enterprise platforms, cloud services, APIs and knowledge sources using modern integration standards and Model Context Protocol (MCP). Build production-grade agent services using Python, cloud-native architectures, event-driven design, automation and Infrastructure as Code. Implement robust evaluation, observability and continuous ...

platform. Engineer integrations between AI agents and core banking systems, enterprise APIs, databases and microservices, including custom Model Context Protocol (MCP) servers. Design secure, resilient agent execution environments, implementing controls such as mTLS, OAuth2 token delegation, HashiCorp Vault and OpenShift container security. Drive engineering excellence through architecture … that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole ...

file-based integrations towards a more governed platform of reusable business-domain services, REST APIs, business events and Model Context Protocol (MCP) interfaces on Azure. You’ll work closely with engineering teams to guide this transition incrementally, helping us to reduce complexity, improve resilience and make change … including adapter patterns, cutover, rollback and decommissioning. Establish secure-by-design standards across identity, authentication, authorisation, secrets and network controls, alongside appropriate governance for MCP and other AI-facing interfaces. Maintain hands‐on technical credibility through targeted prototypes, proof‐of‐concepts and technical spikes that help de‐risk important architectural ...

aligned with the broader technology strategy. Lead the design and implementation of Retrieval-Augmented Generation (RAG) systems and agent orchestration frameworks to deliver intelligent, context-aware solutions. Partner with technology and business stakeholders across multiple teams to identify system enhancements and translate requirements into robust technical implementations. Define … modelling. Exposure to GraphRAG techniques for enhancing retrieval and reasoning within knowledge‐graph‐powered AI systems. Knowledge of Model Context Protocol (MCP) and its application in AI agent communication and integration. Master’s degree in computer science, Engineering, or a related field. What We Offer At Citi ...

PagerDuty Staff Engineer/SDE V expectations). Hands-on experience with LLM and agent systems in production, including agent development, tool-use frameworks (MCP or equivalent), evaluation pipelines, and guardrail design. Customer-facing skills. You can run a technical design session with a customer's engineers and present … PagerDuty or competing digital operations and incident management platforms. Active open-source contributions to the AI agent or Model Context Protocol (MCP) ecosystem. This role is expected to work from the PagerDuty office in London or a client site at least 2 days a week. Hesitant ...

LLMs), Retrieval‐Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Experience with tools for automated testing and evaluation of AI outputs Experience working in Agile teams and collaborating across global ...

with product owners, service teams, and business stakeholders to prioritize opportunities. Eliminate unnecessary steps and favor platform-native capabilities over customization. Engineer trusted enterprise context for AI. Improve knowledge quality with service owners and implement permissions-aware retrieval grounded in catalog, CMDB, and service data. Evaluate and govern … Experience exposing enterprise actions to external AI assistants or agents through governed APIs or approved standards such as Model Context Protocol (MCP), and implementing AI evaluation datasets, production feedback loops, ServiceNow Automated Test Framework, deployment automation, or responsible AI lifecycle controls. Relevant ServiceNow certifications, such as Certified ...

Required Skills Kotlin TLS DNS unit testing AWS MCP AI Java TypeScript CDK AWS CDK Networking CI/CD Job Summary Backend Software Engineer – AWS CDK & Edge Platforms Location: London (Hybrid) Pay Rate: £400/day Inside IR35 Duration: 12 Months The Opportunity Looking to work on high-scale distributed … Doing Developing resilient backend microservices using AWS-native services. Building out integration points for AI tools via Model Context Protocol (MCP) frameworks. Improving system performance, automated failovers, and low-latency client routing. Collaborating within an established engineering team to maintain operational standards. What We Are Looking ...