1 to 25 of 98 Remote/Hybrid Model Context Protocol Jobs

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 … 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 ...

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 ...

LLMs), and build a secure, scalable framework that allows our platform to seamlessly leverage AI. You will build Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and coordinate with disparate internal teams to expose their APIs to our autonomous agents. … agentic platform. Deploy, manage, and scale applications within Kubernetes (K8s) environments efficiently right out of the gate. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs. ...

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. ...

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 ...

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 … 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 ...

code disciplinesImplement Microsoft-specific technical governance – in Copilot Studio, Power Platform, Azure DevOps, and our Azure subscriptions used for hostingDefine and run the support model for the AI estate – monitoring and alerting, incident response, change and release management, documentation and knowledge transfer, so solutions remain reliable as usage growsEnable …/CD (ideally Azure DevOps or GitHub Actions), testing and infrastructure as code - backed by strong awareness of the related Azure platform servicesExperience in MCP (Model Context Protocol) development - building and consuming MCP servers to expose internal systems and data to agents securelyPractical knowledge of RAG, ideally ...

agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools. Experience deploying containerized applications using ...

Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Core Skills and Qualifications:12+ years of experience in software engineering, preferably in platform or cloud-native service … trade-offs between latency, capability, cost, and model sizing. Awareness of emerging AI protocols and standards (e.g., Model Context Protocol [MCP], Agent2Agent [A2A]). Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities. R&D at AVEVAOur global team of 2000+ ...

project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps RAG MCP ...

Engineer to lead the build of an enterprise AI evidence discovery platform using SharePoint, Azure AI services and Model Context Protocol (MCP ). The role involves designing AI-powered search and retrieval capabilities across documents, emails, contracts and risk artefacts, while mentoring a junior engineer. Responsibilities - Develop … MCP servers exposing SharePoint and Azure AI Search capabilities to AI agents. - Build SharePoint and Microsoft Graph ingestion pipelines for documents, emails and attachments. - Design and implement RAG and agentic AI workflows using Azure OpenAI. - Deliver hybrid search solutions combining semantic and vector retrieval. - Implement secure, permission-aware access controls ...

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 ...

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 ...

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 ...

production deployment. Key Skills: Strong Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector databases, embeddings and semantic search Event-driven architectures ...