1 to 25 of 181 Model Context Protocol Jobs

frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into … both frontend and backend development, combined with hands-on experience building production-ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your ImpactTechnical Leadership & System Architecture: Architect, design ...

translating ambiguous business problems into robust, production-grade solutions. You will play a hands-on role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems, and integrating LLM-based orchestration frameworks. On the front … using Celery, Redis (as broker/result backend), Celery Beat (scheduled/periodic tasks), and Flower (task monitoring/observability). * Build and maintain MCP (Model Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. ...

translating ambiguous business problems into robust, production-grade solutions. You will play a hands-on role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems , and integrating LLM-based orchestration frameworks. On the front … using Celery , Redis (as broker/result backend), Celery Beat (scheduled/periodic tasks), and Flower (task monitoring/observability). Build and maintain MCP (Model Context Protocol) servers and tools , exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. ...

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 ...

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 ...

solutions, including Generative AI and Agentic AI using Google ADK.Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers.Write high-quality code in Python and/or Java, working across modern AI and platform technologies.Provide technical leadership, mentoring and guidance … experience with both is highly desirable.Experience with Generative AI and AI Agents, ideally including Google ADK.Practical experience with Model Context Protocol (MCP) and AI/data/service integration is highly desirable.Strong understanding of REST APIs, networking, databases and CLI tooling, with Postgres/Oracle experience preferred.Experience ...

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 ...

OAuth2), rate limiting, usage attribution, and audit logging controls. Implement safe integrations with AI agents, tool calling, and Model Context Protocol (MCP) services. Key Skills & Experience Required: Strong hands-on experience building production APIs/backend services in Python or TypeScript/Node.js. Practical experience integrating … Clearance Desirable Skills: Experience with Cloudflare AI Gateway or custom AI proxy configurations. Hands-on experience with Model Context Protocol (MCP) or agentic frameworks. Knowledge of RAG, vector databases, embeddings, or LLM evaluation frameworks. Awareness of AI security threats (prompt injection, data leakage, unsafe tool execution). ...

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 … improve customer/employee experienceDocument current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrationsGather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human ...

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 ...

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 ...

Business (LOB) squads. The overall objective of this role is to build production-grade agent reasoning loops, custom Model Context Protocol (MCP) servers and robust error-handling mechanisms that adhere to enterprise safety and quality standards. Working closely with fellow engineers and business stakeholders, you'll help … ResponsibilitiesWrites robust, production-quality agent reasoning logic, memory management and sub-agent delegation workflows in Python. Develops custom Model Context Protocol (MCP) servers connecting AI agents to enterprise systems (ServiceNow, JIRA, DBaaS, Kafka, internal REST/gRPC services).Implements resilient error handling, automated retry mechanisms, fallback routines ...

supporting a public sector organisation with the secure rollout and governance of AI-enabled developer tooling, including GitHub Copilot, Copilot CLI, GitHub CLI and MCP (Model Context Protocol) servers. This role would suit a Platform Engineer, DevSecOps Engineer, AI Platform Engineer, Developer Experience Engineer or GitHub Enterprise … Administrator with experience balancing innovation, security and governance. Key Responsibilities Administer and configure GitHub Enterprise, GitHub Copilot and Copilot CLI. Evaluate, test and govern MCP servers, including GitHub, Jira and Confluence integrations. Implement AI security controls, access policies and approval processes. Conduct threat modelling and AI risk assessments in partnership ...

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. ...

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 ...

retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Help develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Work with colleagues to implement authentication, access control … with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with ...

governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services "for" product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution. LSEG AI Assist/ ...

Sr. Solutions Engineer for scale-up. The pattern is proven by AI-native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK.This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured … team background is ideal. Strong hands-on experience with agent frameworks and multi-agent orchestration, tool use and Model Context Protocol (MCP), and agent evaluation and tracing. Experience automating scientific or technical workflows with agents: data pipelines from lab and process systems, code generation for analysis ...

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 ...

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 ...

products, applications and platforms, ensuring solutions are scalable, secure, reliable and maintainable.Design and integrate agent tools, APIs and Model Context Protocol (MCP) interfaces, enabling secure and efficient interaction with enterprise systems, databases and external services.Develop compound AI architectures combining large language models with specialised models, semantic search … classification, re-ranking and deterministic workflows to improve accuracy, performance and cost efficiency.Build robust evaluation frameworks, automated testing, guardrails and observability capabilities to monitor model behaviour, output quality, hallucinations, latency and operational performance.Apply strong engineering judgement to model selection, prompt engineering, structured outputs, fine-tuning and retrieval strategies ...