1 to 25 of 89 Permanent Model Context Protocol Jobs

Senior AI Platform Engineer - MCP | TypeScript | AWS | Agentic AI Salary: Up to £100,000 Location: London - Hybrid Type: Permanent We're working with an established, technology-led business in the sports betting industry that's investing heavily in AI, with ambitious plans to transform its platform through LLM integration, intelligent … looking for a Senior AI Platform Engineer to lead the architecture, design and implementation of a Model Context Protocol (MCP) gateway. This will enable LLMs and AI agents to securely interact with existing services, APIs and business logic, laying the foundations for a wider AI strategy focused ...

Platform Engineer - TypeScript | AWS | MCP | Agentic AI Salary: £80,000 Location: London We're working with an established, technology-led business in the sports betting industry that's making a significant investment in AI, with ambitious plans to transform how its platform operates, automate complex processes and deliver increasingly personalised … Engineer to join this newly established function, working alongside an experienced technical lead to design and build a Model Context Protocol (MCP) gateway that will enable AI agents and LLMs to securely interact with the company's existing services, APIs and business logic. This is a genuine ...

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 ...

engineering, distributed systems, Generative AI and full-stack development. You will be responsible for designing and delivering production-grade backend services, asynchronous processing pipelines, MCP (Model Context Protocol) servers and AI-driven workflows, alongside modern React-based front-end applications. You will also work closely with business … solutions. Key Responsibilities Design, develop and maintain backend services using Python. Build asynchronous task-processing pipelines using Celery, Redis, Celery Beat and Flower. Develop MCP servers and tools to expose internal APIs, databases and enterprise systems to AI agents. Implement agentic AI workflows using LangChain and/or LangGraph. Build ...

LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge … Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. ...

including: Azure AI Foundry Azure API Management (APIM) Azure Kubernetes Service (AKS) Azure Container Apps Azure AI Search Model Context Protocol (MCP) services and supporting infrastructure Establish and maintain platform standards, guardrails, policies and onboarding requirements. Review technical and solution designs, providing guidance to ensure alignment with … Azure AI Search GitHub Enterprise CI/CD tooling and automated delivery pipelines Infrastructure as Code Platform observability and monitoring Identity and Access Management Model Context Protocol services Agentic architecture and engineering patterns Typical Candidate Background: Platform Engineer Cloud Platform Engineer DevOps Engineer Site Reliability Engineer Platform ...

evidence discovery pipeline across ~1,500 SharePoint artefacts (emails, contracts, risk logs) across ~60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration. Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure … Search capabilities as standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP ...

agentic workflows. Line manage engineers, manage performance, support CPD, lead technical recruitment, and maintain workforce plans. Oversee delivery across AWS Bedrock, AI Gateways, model integration, observability, cost controls, and security. Partner with Architecture, Cyber Security, FinOps, and Operations to deliver secure, resilient live services. Key Skills & Experience Required: Proven … Cloudflare AI Gateway or custom AI proxy/gateway technologies. Experience building AI agents, tool-using systems, or Model Context Protocol (MCP) integrations. Experience with RAG, embeddings, vector search, or enterprise knowledge integration. Infrastructure automation using Terraform, Docker, Kubernetes/ECS, and CI/CD pipelines. ...

Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes a model from experiment to production. You’ll work … workload cost attribution • Agent orchestration and tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP) • Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps ...

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 ...

partner with Sales to address technical questions Provide hands-on technical support to client implementation teams, troubleshooting integration issues and advising on API and MCP usage Shape the structure and standards for our technical documentation, covering implementation guides, API references, data models, and integration patterns, and work with the team … infrastructure, GitHub Actions for CI/CD. Clients integrate with us over our APIs and through the Model Context Protocol (MCP). Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers. Qualifications 10+ years in financial services technology, with strong domain ...

platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise … libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions ...

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 ...

agentic systems, covering drift, agent behaviour and performance Familiarity with agent-to-agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just ...

technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. Lead the implementation and deployment of AI services into production environments. Collaborate with … LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable microservices. Knowledge of MCP (Model Context Protocol) and AI tool integration frameworks. Experience with event driven architectures, REST APIs, Docker, Kubernetes, MLOps, and LLMOps. Solid understanding ...

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 ...

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 ...

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 ...

applications that support practical business use cases across the Bank. Connect enterprise data and systems through APIs, Model Context Protocol (MCP), or other integration methods as appropriate. Contribute to enhancements of the Midland AI platform and development of workflow automations. Test emerging AI models and capabilities ...

applications that support practical business use cases across the Bank. Connect enterprise data and systems through APIs, Model Context Protocol (MCP), or other integration methods as appropriate. Contribute to enhancements of the Midland AI platform and development of workflow automations. Test emerging AI models and capabilities ...

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 ...

production-ready development. A practical, hands-on approach to AI experimentation and AI-assisted coding. Desirable Experience Model Context Protocol ( MCP ) and AI agents. AWS, particularly Lambda, SQS/SNS, Bedrock or S3. Vector databases, embeddings and retrieval-augmented generation (RAG). Prompt engineering and LLM evaluation. ...

engineers through constructive code reviews, hands-on coaching and sharing engineering best practices. Nice to have Experience with Model Context Protocol (MCP), vector search or embeddings. Python or other programming experience beyond the Salesforce platform. Salesforce certifications across development, architecture or AI. Why join? Work on innovative ...

engineers through constructive code reviews, hands-on coaching and sharing engineering best practices. Nice to have Experience with Model Context Protocol (MCP), vector search or embeddings. Python or other programming experience beyond the Salesforce platform. Salesforce certifications across development, architecture or AI. Why join? Work on innovative ...

high-profile programme building next-generation AI, agentic systems and data platforms. You'll be responsible for developing scalable backend services in Python, building MCP servers and AI-powered workflows, and delivering modern front-end applications using React and AG Grid. This is a hands-on role where … work closely with business stakeholders to turn complex requirements into production-grade solutions. Key skills: Python (5+ years) Celery, Redis, Celery Beat, Flower MCP (Model Context Protocol) LangChain and/or LangGraph React & AG Grid SQL (Oracle desirable) REST APIs & distributed systems Stakeholder engagement & requirements gathering Desirable ...