101 to 125 of 584 Permanent Model Context Protocol Jobs

quality expectations, refresh, and change management. Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write‐back. Embed data protection and security into the architecture, including consent, retention, minimisation, and cross … fluent, with practical experience of AI tooling and an understanding of machine‐readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data. Essential Hands‐on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability ...

data delivery platform. As part of the API team, you will build the next generation of Meltwater’s AI and platform capabilities, focused on MCP (Model Context Protocol), OAuth, permissions, and enterprise‐grade governance. Your work will help bring Meltwater’s intelligence into external AI workflows. What … design, development, and optimization of API, export and MCP features. Collaborate closely with product managers and senior engineers to define functionality, while architecting systems that handle high-throughput data pipelines. Participate in building robust export pipelines, streaming architectures, webhook integrations and MCP servers. Maintain high observability and reliability standards using ...

least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within … stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams ...

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 ...

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 ...

APIs and concepts — including prompt engineering, RAG, function calling, agent frameworks, and tool use. Claude (Anthropic) experience is specifically valued. Working knowledge of MCP (Model Context Protocol) and equivalent integration frameworks — comfortable connecting AI capabilities to enterprise systems in a governed way. Experience with workflow automation … landscape. BENEFITS Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working #J-18808-Ljbffr ...

architecture, AI readiness and help them technically validate Amazon Connect. - Design agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action and Agent-to-Agent integration.- Represent the voice of the customer; bring customer feedback to product teams … thought reasoning, and autonomous agent workflows- Experience with CCaaS adjacent capabilities including Analytics, WFM/WFO, CRM technologies.- Familiarity with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication- Experience with Amazon Connect ...

software development, low-code technologies, AI agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data as needed to the firm’s internal AI agents. Design, develop, and deploy custom software applications that ...

production**, including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol (MCP) services.# **What you’ll do**Software engineering* Design and develop sophisticated backend services, platforms and RESTful APIs that support critical trading and middle-office workflows.* Build … deployment** journey for Data and AI applications, moving solutions from prototypes into production.* Develop production-grade agentic workflows, including multi-agent architectures and MCP-based services.* Build high-performance evaluation pipelines and observability frameworks to assess the accuracy, safety, reliability and latency of AI-powered applications.* Find opportunities where ...

production , including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol (MCP) services. What you’ll do Software engineering Design and develop sophisticated backend services, platforms and RESTful APIs that support critical trading and middle-office workflows. Build … deployment journey for Data and AI applications, moving solutions from prototypes into production. Develop production-grade agentic workflows, including multi-agent architectures and MCP-based services. Build high-performance evaluation pipelines and observability frameworks to assess the accuracy, safety, reliability and latency of AI-powered applications. Find opportunities where ...

differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities — including LLM-powered features, AI agent frameworks, and MCP servers — to accelerate both internal tooling and customer touchpoints. You'll join an existing Senior Solutions Architect and share technical ownership of theplatform, dividing focus … platform architecture, and presenting technicalrecommendations to the team. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automaterepetitive commercial processes. You'll investigate and resolve production bugs,optimize web portal ...

willing to change course when something isn't landing. Partner with Staff Engineers and other pods where the Agents surface touches LLM control, MCP, or the core API gateway – and vice versa. Your impact will be visible, measurable, and felt by every enterprise trusting agents with real access to their … single product surface. Experience with cost or usage governance for AI and LLM systems. Familiarity with the Model Context Protocol (MCP) or similar orchestration standards. Experience working in a fast-moving, ambiguous product environment. Experience with containerized deployment and CI/CD pipelines (Docker, Helm, Kubernetes) Familiarity ...

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 ...

Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement. Who You Are Humble, Hungry, Smart. What You'll Be Doing Architect … impact features for our main public facing insurance marketplace and internal toolsets. Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence. Coach and mentor junior engineers within the team and organisation. Champion our Agent First philosophy by driving agentic enablement across ...

agent delegation, and session/state management. Experience authoring custom skills or slash commands for Claude Code to codify team‐specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources. Working knowledge of RAG patterns and vector store integration (e.g. ...

outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams … signal back into product and architecture decisions. Bonus Points Background in email security, threat detection, DLP, identity, or data platforms. Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture. Experience with eval design for AI features, product discovery practices, or data contract/data ...

this is your slot. What you will do: Build, deploy, and scale production-level Generative AI systems and LLM workflows. Develop custom orchestration layers, context retrieval pipelines, and prompt frameworks using Python or node APIs. Integrate neural network components and specialized open-source models directly … into application microservices. What we look for: Practical experience working directly with commercial AI APIs, LangChain, LlamaIndex, or Model Context Protocol (MCP). Deep-tier programming skills in Python and a solid handle on data architecture plumbing. A fast, agile learning mindset focused on staying ahead ...

usage across all engineering teams. System Orchestration: Integrate AI solutions seamlessly with CI/CD pipelines and Model Context Protocol (MCP) servers to create automated, end-to-end development cycles. Strategic Collaboration: Partner with cross-functional engineering teams to embed AI-driven processes directly into core SDLC … large scale enterprise/industrial SDLC (large enterprises with complex process/tools). Given they need to apply their genAI skills in the context of a transformation from old to new...leading/guiding/designing how old style meets new style of engineering. Often we see inexperienced developers ...

into CI/CD pipelines using GitHub Actions, supporting continuous delivery practices. Leverage AI-powered development tools such as Claude Code, GitHub Copilot, and MCP integrations to accelerate test creation, defect investigation, and impact analysis while validating all AI-generated output. Collaborate closely with Software Engineers, Product Managers, DevOps, Operations … business teams. Nice to Have: Experience within financial services or fintech, particularly testing financial systems, XML, JSON, FIX, SFTP, or Swift messaging. Familiarity with MCP (Model Context Protocol) integrations and AI agent workflows. Experience testing event-driven architectures, including Azure Service Bus and Azure Kubernetes Service ...

mon. exp in any Test Engineer or Automation Engineer position or any related IT position. 60 mon. in: Model Context Protocol (MCP) servers; LLM-based synthetic test data generation; Agentic AI test automation; Telecom network device testing (Drivenets, OLT, VHO, BNG); Network services (Fibre, Broadband, Ethernet connections ...

with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching ...

senior stakeholders. Highly Desirable Experience in a regulated industry: igaming, fintech, or financial services. Hands‐on n8n experience for production workflow automation. Familiarity with MCP (Model Context Protocol) or similar frameworks. Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation. Working knowledge of vector databases, embedding ...

taking Data and AI solutions from early experimentation through to production, including agentic applications, multi-agent systems and Model Context Protocol (MCP) services. What you'll do Software engineering Build backend services, platforms and APIs that support trading and middle-office workflows. Develop cloud-native applications using … shape the technology roadmap. Data & AI Lead Data and AI solutions from discovery through deployment. Build agentic applications, including multi-agent workflows and MCP services. Develop evaluation and monitoring capabilities to measure accuracy, reliability, safety and performance. Identify opportunities to apply AI and automation to real business challenges. ...

taking Data and AI solutions from early experimentation through to production, including agentic applications, multi-agent systems and Model Context Protocol (MCP) services. What you'll do Software engineering Build backend services, platforms and APIs that support trading and middle-office workflows. Develop cloud-native applications using … shape the technology roadmap. Data & AI Lead Data and AI solutions from discovery through deployment. Build agentic applications, including multi-agent workflows and MCP services. Develop evaluation and monitoring capabilities to measure accuracy, reliability, safety and performance. Identify opportunities to apply AI and automation to real business challenges. ...

Solutions will frequently make heavy use of AI: prototyping with AI coding tools, and building solutions that themselves incorporate AI agents, LLMs, models, and MCP services. The Creative Technologist is expected to stay at the leading edge of these tools and techniques, and to bring a strong point of view … rapidly build demonstrable prototypes. Large Language Models (LLMs) and hosted/served models as building blocks within solutions. AI agents and agentic workflows. MCP (Model Context Protocol) services to expose data and capabilities to AI systems. Prompt design and an understanding of how to get reliable, high ...