1 to 25 of 37 Model Context Protocol Jobs in the City of London

multi-agent workflows, along with the frameworks that run them, for enterprise use cases Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling Process unstructured data into condensed, structured knowledge, including ontology extraction Write production‐grade Python services (FastAPI) with solid … experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol) Practical experience building RAG/LLM‐based pipelines and working with vector databases Experience with relational and graph databases (e.g. ...

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 ...

broader applicability across the wider AI organisation. Responsible AI, risk & control Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. Demonstrate conformance to all Barings Enterprise Risk Management policies. Ensure all development activities are undertaken within the defined control environment. Required … your daily workflow. Daily proficiency with AI coding tools such as Claude or GitHub Copilot. Hands‐on LLM integration experience. Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture. Cloud platform experience. Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar. Strong ...

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 ...

language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ...

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 ...

global leaders like Michelin, Roche, and Blue Yonder. The Role We're looking for a Senior Product Manager to own the roadmap for the MCP or the Agents module of AI Agent Management - a product that lets enterprises connect, govern, and control the tools their AI agents call. … Doing At Gravitee, impact isn't abstract, it's visible. In this role, you will: Define and own the product roadmap for native MCP or A2A support across Gravitee's platform. Work closely with your Engineering Manager and pod through discovery, design, and delivery. Collect and prioritize the needs ...

Design secure architectures for Microsoft 365 Copilot, Copilot Studio, AI agents, custom AI applications, retrieval-augmented generation, Azure AI services, third-party models and Model Context Protocol integrations. * Own the technical security control catalogue and map control objectives to architecture patterns, technology configurations, owners, evidence and testing ...

analyze and document requirements. Develop Multi Agent Solutions, Copilot Studio (PVA), Canvas apps, Cloud Flows, Desktop Flows, Dataverse artefacts, AI Builder, Business Process Flows, Model‐Driven Apps, and Power Pages. Engage directly with teams within the client and Avanade environments to share knowledge and upskill them. Stay … working with Copilot Studio/Power Virtual Agents. Expertise in Power Automate Flows (both desktop and cloud) and computer use. Experience in Canvas and Model‐Driven App development. Experience working with Dataverse Tables and data formats such as XML and JSON. Competent understanding of Microsoft365, including M365 Copilot Teams ...

Mathematics, Information Security, or a related STEM subject. A real curiosity about AI systems. You find yourself reading about how LLM agents work, what MCP is, and how tool-calling works Excited by the challenge of keeping AI behaviour safe and under control, whether that interest comes from security, systems ...

solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost Experience deploying AI solutions into production with focus on cost … evaluating multi‐agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness Confidence contributing to pre‐sales while also being able ...

broader AI/ML technologies. How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains. How to develop and operate MCP-enabled solutions, evaluation suites and responsible AI controls. How to convert repeatable delivery patterns into reusable assets and accelerators for client teams. How to help clients … through production. Develop with Anthropic SDKs and APIs, applying tool use, structured outputs, streaming, prompt caching, context management and robust error handling. Build MCP clients and servers that connect agents securely to repositories, enterprise data sources, development tools and business systems. Implement RAG and context-engineering solutions using ...

broader AI/ML technologies. How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains. How to develop and operate MCP-enabled solutions, evaluation suites and responsible AI controls. How to convert repeatable delivery patterns into reusable assets and accelerators for client teams. How to help clients … through production. Develop with Anthropic SDKs and APIs, applying tool use, structured outputs, streaming, prompt caching, context management and robust error handling. Build MCP clients and servers that connect agents securely to repositories, enterprise data sources, development tools and business systems. Implement RAG and context-engineering solutions using ...

working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP) Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.) Solid understanding of internal control concepts with the ability to evaluate and determine the adequacy ...

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 ...

layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies … Azure; CI/CD and cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content ...

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. … Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions Ltd is a leading independent tech ...

following areas, and at least some exposure to the other: Integrating with LLM APIs to build tools, agents and potentially multi-agent workflows (MCP and LangGraph are relevant). Cybersecurity in depth (for systems and networks, finding and closing vulnerabilities, CVEs, potentially traffic analysis and cyber-physical systems security). ...

audit trails, version control and ownership 4. AI and Automation Development Design, build and deploy AI-enabled workflows using LLMs, developer CLI tools, APIs, MCP and automation platforms Connect systems including ERP, ecommerce, CRM, customer service and reporting platforms Decide where to use AI, deterministic rules or human review based ...

design, retrieval-augmented generation (RAG) architectures, and at least one agentic AI framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI) Experience designing and building data and context pipelines … systems — including embedding pipelines, vector databases, and semantic search applied to structured commerce data Familiarity with emerging agentic commerce protocols — such as MCP, A2A, or ACP — and how they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms ...

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

Cloud Run, Pub/Sub) Hands on experience with Kafka/Messaging Prior working experience with PostgreSQL/SQL Practical AI Agents (Tool-calling, MCP, Vertex AI) Remote (UK-based) | 6-Month Initial Contract |??£60 per hour (Umbrella) Inside IR35 If you thrive on solving complex integration challenges and want ...

supported by strong SQL Create engaging, responsive AI products using TypeScript, JavaScript, React and Next.js Ground LLM applications in trusted business data through RAG, MCP and model integration Design multi-agent solutions using frameworks such as LangChain, CrewAI, AutoGen, OpenAI Agents or Google ADK Take applications safely into production ...

deployment. You will guide architecture, governance, and implementation across complex engagements. The role requires hands-on Python (FastAPI), experience with agentic AI frameworks and MCP, and a track record of shipping AI at #J-18808-Ljbffr ...

Solution Architect to accelerate enterprise AI adoption in Europe. You will design end-to-end AI and LLM solutions leveraging TokenHub and MCP ecosystem, working with enterprise customers and cross-functional teams. Required are 2+ years in Gen AI/LLMs, strong cloud and MLOps experience, and excellent English. Mandarin ...