11 of 11 Permanent MCP Jobs in the City of London

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 ...

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/ ...

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 … monitoring tools to diagnose production issues in AI deployments. Experience with frontend/UI prototyping frameworks is a plus. Familiarity with MCP (Model Context Protocol) or similar agent communication standards is a strong plus. Customer-Facing Skills Excellent communication and presentation skills. Ability to explain complex technical concepts ...

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 ...

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 ...

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 ...

working in Agile 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 ...

with AI and LLM 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 ...

drive measurable business outcomes. Skills & Responsibilities Build and deploy production-grade AI agents and LLM-powered applications. Design agentic workflows using LangChain, LangGraph, MCP, FastMCP, or similar frameworks. Develop and optimise Retrieval-Augmented Generation (RAG) systems. Integrate AI solutions into products, APIs, and business workflows. Work with AWS, Azure … experience and production software engineering skills. Proven track record shipping LLM-based solutions into production environments. Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting Senior AI Engineer (LLM/Agentic AI) | London (Hybrid) | £600–£700/day | Outside ...

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. ...

owning dbt models on BigQuery across trading, finance, and regulatory domains Supporting both BI users (Looker dashboards) and AI agents consuming governed data via MCP Owning pipeline reliability during London hours; incident response, schema drift, reconciliation breaks Semantic layer work that needs to be precise enough for AI agents ...