12 of 12 Model Context Protocol Jobs in the City of London

Ability to contribute to responsive frontend code when needed Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps … LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources Knowledge of LLM evaluation methods — measuring ...

delivery environments (Agile, SAFe, XP, Jira, Confluence, etc.) Desirable Experience Experience in Banking (essential focus area) Exposure to Model Context Protocol (MCP) Experience in regulated enterprise environments Understanding of MLOps/LLMOps practices Ability to contribute to ROI modelling, business cases, and AI value articulation Experience mentoring ...

technical consulting. You will work closely with enterprise customers to design, build, deploy, and support AI-powered commerce experiences using DaVinci Commerce’s APIs, MCP interfaces, and Agentic BrandStore framework. As an FDE, you will bridge the gap between Product, Engineering, and Customers — acting as both a technical problem solver … scale DaVinci Commerce solutions globally. Key Responsibilities Customer Deployments & Solution Engineering Design, build, and deploy customer-specific AI commerce solutions using DaVinci Commerce APIs, MCP interfaces, and BrandStore Agent frameworks. Rapidly prototype custom workflows, interfaces, automations, and integrations for enterprise customers. Develop backend services, APIs, orchestration layers, and integrations required ...

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 ...

Kubernetes, CI/CD, and major cloud platforms Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks Agentic/Integrations: MCP, Salesforce/SAP/Other Excellent communication with both technical and executive stakeholders Mentorship capability and collaborative team-first mindset BS/MS/ ...

just prototypes. Key experience required: • Python and production-grade coding • LLMs, AI Agents & Agentic Workflows • LangChain/LangGraph or similar frameworks • RAG Systems • MCP/FastMCP/FastAPI architectures • Cloud platforms (AWS, Azure, or GCP) • AI system deployment, orchestration & optimisation. This role offers the opportunity to work on large-scale ...

least one object oriented programming language (JavaScript/TypeScript, Python, Java, C#, etc) You have hands-on experience with GenAI, (e.g. Playwright with MCP). Experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude) is required, knowledge of LangChain or LangGraph, and cloud environments is a plus ...

pipelines Vector databases AI orchestration frameworks React.js Nice to Have Experience with LangChain, LangGraph, CrewAI or similar frameworks Exposure to agentic AI workflows or MCP Python experience for AI tooling or automation Experience working on AI-first products Applicants must be based in the EU for this role. ...

more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data … Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such ...

growth, product); Shape pricing, packaging, and deal structure directly with the CEO; Use Reteno's own AI sales agents (Slack-native, built on our MCP server) in your daily workflow — you'll sell agentic tooling and use it. You'll do well here if you have: 3+ years closing full ...

design, motion, and interaction detail. Great taste. Experience integrating LLMs into products, whether that's AI-powered prototyping, agent systems, or orchestration. MCP experience is a plus. Deep expertise in at least one programming language (JavaScript, Kotlin, Swift, or similar). We expect you'll use AI tools to accelerate ...

systems using RAG, reasoning, planning, memory, and tool orchestration Develop multi-step AI solutions capable of autonomous decision-making and tool usage Work with MCP-style architectures and modern orchestration frameworks Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets Deploy scalable AI systems across cloud environments including … LangGraph, or similar frameworks Demonstrable experience building Agentic AI systems and AI agents Strong understanding of RAG architectures and LLM optimisation Experience with FastAPI, MCP/FastMCP, or similar technologies Familiarity with cloud-native AI deployments and data-driven applications Important Applications must clearly demonstrate hands-on Agentic AI experience. ...

solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows … principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher ...